Source: https://patents.google.com/patent/JP2015216518A/en
Timestamp: 2020-07-11 22:12:02
Document Index: 491887049

Matched Legal Cases: ['art 25', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 15', 'art 11']

JP2015216518A - Information processing method, program, and information processing apparatus - Google Patents
Information processing method, program, and information processing apparatus Download PDF
JP2015216518A
JP2015216518A JP2014098619A JP2014098619A JP2015216518A JP 2015216518 A JP2015216518 A JP 2015216518A JP 2014098619 A JP2014098619 A JP 2014098619A JP 2014098619 A JP2014098619 A JP 2014098619A JP 2015216518 A JP2015216518 A JP 2015216518A
JP2014098619A
武志 鈴木
潤一 植村
正行 一之瀬
2014-05-12 Application filed by 富士通株式会社, Fujitsu Ltd filed Critical 富士通株式会社
2014-05-12 Priority to JP2014098619A priority Critical patent/JP2015216518A/en
2015-12-03 Publication of JP2015216518A publication Critical patent/JP2015216518A/en
An information processing method, a program, and an information processing apparatus for discriminating two or more closely contacting human bodies as separate human bodies are provided.
A computer 1 analyzes a depth acquired from a depth sensor 2 installed at a position where sensing can be performed from above a person's head, and determines whether there is a target that satisfies a head shape detection criterion. The computer 1 outputs information indicating the presence of a person according to the determination result. The head shape detection criterion is substantially hemispherical, and the information indicating the presence of a person indicates that there are as many people as the number of objects determined to satisfy the head shape detection criterion. Information.
The present invention relates to an information processing method, a program, and an information processing apparatus.
Conventionally, a technique for detecting a pedestrian using a camera image has been proposed (see, for example, Patent Document 1).
JP 2011-216003 A
However, the conventional technique has a problem that two or more human bodies in close contact with each other cannot be distinguished as separate human bodies.
In one side, it aims at providing the information processing method etc. which can discriminate | determine two or more human bodies which closely_contact | adhered as separate human bodies.
The information processing method disclosed in the present application analyzes a depth acquired from a depth sensor installed at a position where sensing can be performed from above a person's head, determines whether there is a target that satisfies a head shape detection criterion, and determines Depending on the result, the computer is caused to execute a process of outputting information indicating the presence of a person.
In one aspect, it is possible to distinguish two or more closely contacting human bodies as separate human bodies.
It is explanatory drawing which shows the outline | summary of an information processing system. It is explanatory drawing which shows the hardware group of a sensor. It is a block diagram which shows the hardware group of a computer. It is explanatory drawing which shows the record layout of log | history DB. It is a flowchart which shows the procedure of a recognition process. It is explanatory drawing which shows the outline | summary of an information processing system. It is explanatory drawing which shows several depth. It is explanatory drawing which shows the record layout of log | history DB. It is an image figure which shows a display result. It is a flowchart which shows the procedure of an output process. It is a flowchart which shows the procedure of an output process. It is a flowchart which shows the procedure of an output process. It is explanatory drawing which shows a walk condition. It is explanatory drawing which shows the record layout of log | history DB. It is a flowchart which shows the procedure of a recognition process. It is a flowchart which shows the procedure of a recognition process. It is a flowchart which shows the procedure of a recognition process. It is a flowchart which shows the procedure of a recognition process. It is explanatory drawing which shows the approach condition of an infant. It is explanatory drawing which shows the record layout of log | history DB. It is a flowchart which shows the procedure of a recognition process. It is explanatory drawing which shows the record layout of log | history DB. It is a flowchart which shows the procedure of a recognition process. It is a flowchart which shows the procedure of a recognition process. It is explanatory drawing which shows the record layout of log | history DB. It is a flowchart which shows the procedure of a recognition process. It is a flowchart which shows the procedure of a recognition process. It is explanatory drawing which shows the outline | summary of an information processing system. It is a flowchart which shows the procedure of a recognition process. It is a functional block diagram which shows operation | movement of the computer of the form mentioned above. FIG. 20 is a block diagram illustrating a hardware group of a computer according to an eighth embodiment.
Hereinafter, embodiments will be described with reference to the drawings. FIG. 1 is an explanatory diagram showing an outline of an information processing system. The information processing system includes an information processing apparatus 1 and a depth sensor 2 (hereinafter referred to as sensor 2). The information processing apparatus 1 and the sensor 2 are connected by wire or wireless. The information processing apparatus 1 is a server computer, a personal computer, a mobile phone, a smartphone, a game machine, a PDA (Personal Digital Assistant), or the like. Hereinafter, the information processing apparatus 1 will be described as being replaced with the computer 1.
The sensor 2 is a sensor that detects the depth (distance) in a predetermined area, such as Microsoft KINECT (registered trademark) or a stereo camera. In the embodiment, an example using KINECT (registered trademark) will be described. The sensor 2 is installed in a facility such as an amusement park, a station, a road, a store, a company, a factory, a school, a stadium, or a store. The sensor 2 is attached at a position where the depth can be detected from above the human head. For example, the sensor 2 is attached to the ceiling or gate so that the sensor 2 faces downward. The computer 1 determines whether or not a human head shape exists based on the depth acquired from the sensor 2. Whether or not a human head shape exists is determined by whether or not a substantially semi-spherical shape exists. When the computer 1 detects the shape of the head, the computer 1 outputs information indicating the presence of a person to the display unit. By using the information output by the computer 1, the staff in the facility where the sensor 2 is installed can grasp what kind of customers exist in the facility. As a result, it can be used as a material for judging whether or not the user needs to be supported, or as a material for studying the improvement of the facility. Details will be described below.
FIG. 2 is an explanatory diagram showing a hardware group of the sensor 2. The sensor 2 includes a CPU (Central Processing Unit) 21 as a control unit, a RAM (Random Access Memory) 22, an imaging unit 23, a depth acquisition unit 24, a storage unit 25, a communication unit 26, and the like. The CPU 21 is connected to each part of the hardware via the bus 27. CPU21 controls each part of hardware according to control program 25P memorized by storage part 25. The RAM 22 is, for example, SRAM (Static RAM), DRAM (Dynamic RAM), flash memory, or the like. The RAM 22 also functions as a storage unit, and temporarily stores various data generated when the CPU 21 executes various programs.
The imaging unit 23 is a CCD (Charge-Coupled Device) camera, for example, and outputs the captured image to the RAM 22. The depth acquisition unit 24 detects the depth of the measurement region by irradiating infrared rays from a plurality of positions and capturing light reflected from the irradiated object. The depth acquisition unit 24 outputs the plane coordinates and depth of the measurement area to the RAM 22. In the embodiment, the direction from the sensor 2 toward the ground is a positive direction of depth, and the origin is the sensor 2. Further, the coordinates of the surface intersecting with the positive depth direction from the sensor 2 toward the ground are set as plane coordinates (hereinafter abbreviated as coordinates in some cases). The storage unit 25 is a hard disk or a large-capacity memory, and stores a control program 25P. The communication unit 26 outputs the image stored in the RAM 22, the coordinates, and the depth to the computer 1 in accordance with an instruction from the CPU 21.
The communication unit 26 is a communication module that performs communication based on, for example, the USB (Universal Serial Bus) standard, and transmits and receives information to and from the computer 1 by wire or wirelessly. The communication between the sensor 2 and the computer 1 may be performed based on the Bluetooth (registered trademark) standard in addition to being performed through the Internet, a public line network, or a LAN (Local Area Network). In addition, although it is desirable to install the sensor 2 at a position with a height of about 2 m to 3 m so that the depth acquisition unit 24 faces directly below, the present invention is not limited to this. You may make it install in the some diagonal downward direction. In this case, the inclination angle may be measured in advance, and the depth and coordinates may be geometrically corrected according to the inclination angle. Further, the installation height is not limited to the above-described height.
FIG. 3 is a block diagram showing a hardware group of the computer 1. The computer 1 includes a CPU 11 as a control unit, a RAM 12, an input unit 13, a display unit 14, a storage unit 15, a communication unit 16, a clock unit 18, and the like. The CPU 11 is connected to each part of the hardware via the bus 17. The CPU 11 controls each part of the hardware according to the control program 15P stored in the storage unit 15. The RAM 12 is, for example, SRAM, DRAM, flash memory or the like. The RAM 12 also functions as a storage unit, and temporarily stores various data generated when the CPU 11 executes various programs.
The input unit 13 is an input device such as a mouse or a keyboard, a mouse or a touch panel, and outputs received operation information to the CPU 11. The display unit 14 is a liquid crystal display, an organic EL (electroluminescence) display, or the like, and displays various information according to instructions from the CPU 11. The communication unit 16 is a communication module, and transmits and receives information to and from the sensor 2 or another computer (not shown).
The clock unit 18 outputs the date and time to the CPU 11. The storage unit 15 is a hard disk or a large-capacity memory, and stores a control program 15P, a history DB 151, and the like. In the embodiment, the history DB 151 is stored in the storage unit 15. However, the present invention is not limited to this. In addition to being stored in the RAM 12, it may be stored in another DB server (not shown). In this case, the CPU 11 reads and writes information from and to the history DB 151 using SQL (Structured Query Language).
FIG. 4 is an explanatory diagram showing a record layout of the history DB 151. The history DB 151 includes a date / time field, a depth field, a coordinate field, and the like. The date and time field stores the date and time when the sensor 2 measured. In the depth field, the depth to the top of the human head detected by the sensor 2 is stored in association with the date and time. The coordinates of the top are stored in the coordinate field. The CPU 11 reads a semicircular spherical template model stored in advance in the storage unit 15. The semi-spherical template model is a model corresponding to the shape of substantially the upper half of the head obtained when the sensor 2 provided on the head measures a human head. The CPU 11 performs pattern matching based on the plane coordinates and depth acquired from the sensor 2 and the template model. Specifically, the CPU 11 cuts out the plane coordinates and depth at an arbitrary height from the acquired plane coordinates and depth, and generates a comparison model. If the difference between the template and the comparison model is within the allowable range, the CPU 11 determines that the comparison model is a human head.
The CPU 11 stores the minimum depth of the comparison model in the history DB 151. Note that the height may be stored instead of the depth. In this case, the CPU 11 stores a value obtained by subtracting the depth from the installation height stored in the RAM 12 as the height. In this embodiment, an example in which the minimum depth is stored is shown, but the present invention is not limited to this. You may make it memorize | store the average value etc. of the depth of the contrast model judged to be a head as a depth. Moreover, although the coordinate showed the example which memorize | stores the coordinate corresponding to the minimum depth as a coordinate of a top part, it does not restrict to this. For example, the average or the center of gravity of the outer peripheral coordinates of the head obtained when the contrast model is projected onto a plane may be stored in the history DB 151 as the top coordinates.
In this embodiment, a hemispherical shape corresponding to the shape of the substantially upper half of the head is used as the template model. However, the shape of the template model is not limited to this shape. Since a hat may be worn, a model obtained by adding a hat collar to a semi-spherical model may be used as a template model. In addition, since the size of the head differs among individuals, a plurality of template models may be prepared.
The CPU 11 displays an image captured from the imaging unit 23 of the sensor 2 on the display unit 14. When the CPU 11 recognizes the human head, the CPU 11 superimposes and displays a circle having a certain size around the coordinates stored in the history DB 151 on the image. Note that the output of the information indicating the presence of the recognized person may take other forms. For example, in addition to displaying a text or a mark (symbol) indicating that it is recognized on the display unit 14, the cumulative number of people may be displayed. Moreover, you may output the sound which shows having recognized, or the number of people from the speaker which is not shown in figure. Furthermore, information indicating the presence of a person may be output to another computer via the communication unit 16. In the present embodiment, an example of outputting to the display unit 14 will be described.
Various software processes in the above hardware group will be described with reference to flowcharts. FIG. 5 is a flowchart showing the procedure of the recognition process. CPU11 acquires a coordinate and a depth from sensor 2 (Step S51). CPU11 reads a template model from the memory | storage part 15 (step S52). The CPU 11 generates a plurality of contrast models within a predetermined depth range based on the acquired coordinates and depth (step S53). The CPU 11 determines whether or not the difference between the template model and the comparison model is within the allowable value range (step S54). If the CPU 11 determines that the value is not within the allowable value range (NO in step S54), the process ends.
If the CPU 11 determines that the value is within the allowable range (YES in step S54), the process proceeds to step S55. The CPU 11 determines that the head is a person, and acquires the minimum depth and the coordinates corresponding to the minimum depth from the acquired depth (step S55). The CPU 11 stores the date and time, the minimum depth, and the coordinates output from the clock unit 18 as the recognized top data in the history DB 151 (step S56). CPU11 reads a mark from the memory | storage part 15 (step S57). In the present embodiment, the description will be made with a green circle, but the present invention is not limited to this. For example, a character “person” may be used as a mark.
The CPU 11 displays the image acquired from the sensor 2 on the display unit 14. It is assumed that the image coordinate system matches the planar coordinate system acquired by the depth acquisition unit 24. The CPU 11 refers to the coordinates and displays the read mark superimposed on the image (step S58). Thereby, the person who passes the facility can be easily recognized. In addition, since the mark is displayed so as to be superimposed on the image, it is possible for a monitor or the like to easily view the person. Furthermore, by using a semicircular spherical model, it is possible to prevent a baggage having the same size from being erroneously recognized as a head.
The second embodiment relates to a form for recognizing a plurality of persons. FIG. 6 is an explanatory diagram showing an outline of the information processing system. The example of FIG. 6 shows a situation where an adult and a child are walking. The CPU 11 recognizes the two head shapes and determines that there are two people. Further, the CPU 11 determines an adult or a child according to the recognized depth of the crown. Details will be described below.
FIG. 7 is an explanatory diagram showing a plurality of depths. In the present embodiment, a plurality of areas are set from the sensor 2 in the vertical direction. In the example of FIG. 7A, three regions (ranges) are set. A depth of 1 m is set as the first depth, and an area shorter than the first depth is set as the first area. Needless to say, the height from the ground may be used instead of the depth. When it is determined that the top of the head is present in the first area, the CPU 11 determines that the person is an adult. Instead of using the top of the head as a reference, another position of the head such as the center of the head may be used as a reference.
A depth of 1.4 m is set as a second depth longer than the first depth. The numerical values described in the embodiments are not limited. A region that is greater than or equal to the first depth and less than or equal to the second depth is defined as a second region. When the CPU 11 determines that the top of the head is present in the second area, the CPU 11 determines that the child is a child. A region longer than the second depth is taken as a third region. When the CPU 11 determines that the top of the head is present in the third area, the CPU 11 determines that the child is an infant. In the present embodiment, three attributes (adult, child, infant) are assigned according to the three areas, but the present invention is not limited to this. Any form may be used as long as different attributes are assigned to a plurality of regions according to the depth.
FIG. 7B relates to a mode in which two attributes are assigned to the area 2. In this example, a depth of 1.3 m is set as the first depth, and an area shorter than the first depth is set as the first area. CPU11 judges that an adult exists when a top exists in the 1st field. A region having the first depth or more is defined as a second region. The CPU 11 determines that there is a child when the vertex is present in the second region. In the embodiment, an example will be described in which processing is performed for the three regions illustrated in FIG. 7A.
FIG. 8 is an explanatory diagram showing a record layout of the history DB 151. The history DB 151 includes a date / time field, a depth field, a coordinate field, an attribute field, a cumulative number of people field, and the like. In the depth field, the depth is stored in association with the date and time when the human head is recognized. In the coordinate field, the coordinates of the top of the head recognized in association with the depth are stored. In the attribute field, an attribute is stored in association with the depth. In the example of FIG. 8, an adult (depth 0.9 m) and a child (depth 1.2 m) are stored at 12:30:30. In the date / time field, the date is omitted. The cumulative number field further includes an adult field, a child field, and an infant field. The cumulative number of adults, children and infants since the start of measurement is stored in association with the date and time.
When detecting a plurality of heads, the CPU 11 stores the depth of the top of each head in the history DB 151. The CPU 11 stores the coordinate of the top, which is the coordinate of the lowest depth of the head, in association with the depth. Specifically, the CPU 11 refers to a table in which the depths and attributes of the first to third regions are associated with each other, and extracts an attribute corresponding to the stored depth. The CPU 11 stores an attribute corresponding to the depth in the history DB 151. The CPU 11 stores the accumulated number of people in the history DB 151 in association with the date and time for each attribute. The CPU 11 outputs the stored depth and attribute to the display unit 14. In addition, the CPU 11 outputs the cumulative number of people of each attribute to the display unit 14.
FIG. 9 is an image diagram showing a display result. The CPU 11 outputs the captured image to the display unit 14. CPU11 reads the mark of each attribute. The mark of each attribute is set so that it can be visually recognized by attribute. For example, each attribute mark has a different color for each attribute (for example, green for adults, yellow for children, red for infants), different blinking speeds, different display characters, etc. . In the present embodiment, the CPU 11 outputs the text character “adult” to the display unit 14 together with the lead line from the top around the top coordinates for the attribute “adult” as a mark. In addition, the CPU 11 outputs to the display unit 14 hatching formed by line segments from the upper right to the lower left within a predetermined range centered on the top coordinate.
For the attribute “children” as a mark, the CPU 11 outputs the text characters “children” to the display unit 14 together with the lead lines from the top around the top coordinates. In addition, the CPU 11 outputs to the display unit 14 hatching formed by line segments from the upper left to the lower right within a predetermined range centered on the top coordinate. For the attribute “infant” as a mark, the CPU 11 outputs the text character “infant” to the display unit 14 together with the lead line from the top around the top coordinates. In addition, the CPU 11 outputs to the display unit 14 hatching formed by line segments extending in the horizontal direction within a predetermined range centered on the top coordinate. The CPU 11 outputs the cumulative number of each attribute stored in the history DB 151 to a part of the display unit 14.
10 to 12 are flowcharts showing the procedure of the output process. CPU11 acquires a coordinate and a depth in the 1st field from sensor 2 (Step S101). CPU11 reads the template model of 1st area | region from the memory | storage part 15 (step S102). The CPU 11 generates a plurality of comparison models within a predetermined depth range based on the acquired coordinates and depth (step S103). The CPU 11 determines whether or not the difference between the template model and the comparison model is within an allowable value range (step S104). If the CPU 11 determines that the value is not within the allowable value range (NO in step S104), the process proceeds to step S109.
If the CPU 11 determines that the value is within the allowable range (YES in step S104), the process proceeds to step S105. CPU11 judges that it is an adult's head, and acquires the top coordinate corresponding to the minimum depth and the minimum depth from the acquired depth (step S105). The CPU 11 stores the date and time, the minimum depth, the attribute, and the coordinates output from the clock unit 18 as the recognized top data in the history DB 151 (step S106). CPU11 reads the mark of 1st area | region from the memory | storage part 15 (step S107).
The CPU 11 displays the image acquired from the sensor 2 on the display unit 14. The CPU 11 refers to the coordinates and displays the read mark superimposed on the image (step S108). CPU11 repeats the process of step S101-step S108 also about coordinates other than the coordinate group recognized as the head. When another head is found, similarly, the attribute “adult” and the depth are stored in the history DB 151 as the second person. After finishing the processing for all coordinates, the CPU 11 shifts the processing to step S109.
CPU11 acquires a coordinate and a depth in the 2nd field from sensor 2 (Step S109). CPU11 reads the template model of the 2nd field from storage part 15 (Step S111). Since there is a high possibility that a child with a smaller head than an adult is present in the second region, a template model smaller than the template model in the first region may be prepared. The CPU 11 generates a plurality of comparison models within a predetermined depth range based on the acquired coordinates and depth (step S112). The CPU 11 determines whether or not the difference between the template model and the comparison model is within an allowable value range (step S113). If the CPU 11 determines that the value is not within the allowable value range (NO in step S113), the process proceeds to step S118.
If the CPU 11 determines that the value is within the allowable range (YES in step S113), the process proceeds to step S114. CPU11 judges that it is a child's head, and acquires the vertex coordinate corresponding to the minimum depth and the minimum depth from the acquired depth (step S114). The CPU 11 stores the date and time, the minimum depth, the attribute, and the coordinates output from the clock unit 18 as the recognized top data in the history DB 151 (step S115). CPU11 reads the mark of the 2nd field from storage part 15 (Step S116).
The CPU 11 displays the image acquired from the sensor 2 on the display unit 14. The CPU 11 refers to the coordinates and displays the read second region mark superimposed on the image (step S117). CPU11 repeats the process of step S109-step S117 also about the coordinate group other than the coordinate group already recognized as the head. When another head is found, the attribute “child” and the depth are stored in the history DB 151 as the second person. After completing the processing for all coordinates, the CPU 11 shifts the processing to step S118.
CPU11 acquires a coordinate and a depth in the 3rd field from sensor 2 (Step S118). CPU11 reads the template model of 3rd area | region from the memory | storage part 15 (step S119). Since there is a high possibility that an infant with a smaller head than an adult exists in the third area, a template model smaller than the template model in the second area may be prepared. The CPU 11 generates a plurality of contrast models within a predetermined depth range based on the acquired coordinates and depth (step S121). The CPU 11 determines whether or not the difference between the template model and the comparison model is within the allowable value range (step S122). If the CPU 11 determines that the value is not within the allowable value range (NO in step S122), the process proceeds to step S127.
If the CPU 11 determines that the value is within the allowable range (YES in step S122), the process proceeds to step S123. The CPU 11 determines the head of the infant and acquires the minimum depth and the vertex coordinates corresponding to the minimum depth from the acquired depth (step S123). The CPU 11 stores the date and time, the minimum depth, the attribute, and the coordinates output from the clock unit 18 as the recognized top data in the history DB 151 (step S124). CPU11 reads the mark of the 3rd field from storage part 15 (Step S125).
The CPU 11 displays the image acquired from the sensor 2 on the display unit 14. The CPU 11 refers to the coordinates and displays the read third area mark superimposed on the image (step S126). CPU11 repeats the process of step S118-step S126 also about the coordinate group other than the coordinate group already recognized as the head. When another head is found, similarly, the attribute “infant” and the depth are stored in the history DB 151 as the second person. After finishing the processing for all coordinates, the CPU 11 shifts the processing to step S127.
The CPU 11 refers to the history DB 151 and calculates the cumulative number of people for each attribute. The CPU 11 stores the calculated cumulative number of persons in the history DB 151 for each attribute (step S127). The CPU 11 outputs the cumulative number of people for each attribute on the display unit 14 (step S128). Thereby, it is possible to accurately detect the passage of a plurality of persons. Further, by using the depth, it is possible to grasp the attribute of the passing person. In addition, it is possible to easily grasp whether the passing person is an adult or a child.
FIG. 13 is an explanatory diagram showing a walking situation. FIG. 13A shows a situation where an adult and a child are walking. The CPU 11 recognizes a plurality of persons by the processing of the above-described embodiment. In the present embodiment, an example of recognizing two persons is shown, but three or more persons may be used. Hereinafter, one person is referred to as a first object, and the other person is referred to as a second object. A person belonging to the first area is determined as an adult, and a person belonging to the second area is determined as a child. The CPU 11 refers to the coordinates of the history DB 151 and calculates the distance in the same plane between the top coordinates of the first object and the top coordinates of the second object. The CPU 11 reads the threshold distance from the storage unit 15. This distance may be, for example, 30 cm. The CPU 11 determines whether or not the calculated distance is greater than or equal to the threshold distance. If the CPU 11 determines that the distance is equal to or greater than the threshold distance, the CPU 11 determines that the second object belonging to the second area is a child.
FIG. 14 is an explanatory diagram showing a record layout of the history DB 151. The history DB 151 includes a date / time field, a depth field, a coordinate field, an attribute field, a cumulative number of people field, and the like. In the attribute field, in addition to adults and children, children walking with children, children with children, and children with walking are stored. In the example of FIG. 13A, since the child is recognized, the attribute is stored as “child”. The cumulative number of adults and children has increased by one. In the example of FIG. 14, an adult and a child are recognized at 12:30:00, and the depth, coordinates, and attributes “adult” and “child” are stored. The cumulative number of people is stored as “9” for adults and “5” for children.
FIG. 13B shows a situation where an infant is held by an adult. Infants in this situation are referred to below as infants. CPU11 judges that it belongs to the 2nd field, and when the distance in the plane between tops is smaller than the 1st distance (for example, 30 cm), it judges that the 2nd object is an infant. In this embodiment, it is determined that the child is a baby. However, when the infant is carried by an adult, it has the same characteristics, so it may be determined that the child is an infant. In the present embodiment, it is assumed that the child is a baby. When discriminating between octopus infants and piggyback infants, the CPU 11 acquires the traveling direction of the first object from the image data captured from the imaging unit 23. Then, the CPU 11 may determine that it is a piggy toddler if the top of the second object is on the opposite side of the traveling direction, and may determine that it is a baby boy otherwise. When the CPU 11 determines that the child is a child, the CPU 11 stores “children” in the attribute. In the example at 12:31:00, the cumulative number of adults and octopus infants is each increased by one.
FIG. 13C shows a situation where there is an infant walking with a child. When the depth of the second object belongs to the third region and the distance between the top coordinates of the first object and the second object is smaller than the first distance, the CPU 11 determines that the attribute is a child with children walking. In this case, it is determined that the walking infant and adult are walking while holding hands or approaching. At 12:32:00 in FIG. 14, a child walking infant is recognized, and the cumulative number of adults and children walking infant increases by one. Note that when the second object belongs to the third region and the distance of the top coordinate is equal to or greater than the first distance, the CPU 11 determines that the attribute is given to the walking infant, assuming that the infant is walking freely away from the adult's hand. Set.
15 to 18 are flowcharts showing the procedure of the recognition process. CPU11 acquires a coordinate and a depth in the 1st field from sensor 2 (Step S151). CPU11 reads the template model of 1st area | region from the memory | storage part 15 (step S152). The CPU 11 generates a plurality of comparison models within a predetermined depth range based on the acquired coordinates and depth (step S153). The CPU 11 determines whether or not the difference between the template model and the comparison model is within the allowable value range (step S154). If the CPU 11 determines that the value is not within the allowable value range (NO in step S154), the process proceeds to step S159.
If the CPU 11 determines that the value is within the allowable value range (YES in step S154), the process proceeds to step S155. CPU11 judges that it is an adult's head, and acquires the top coordinate corresponding to the minimum depth and the minimum depth from the acquired depth (step S155). The CPU 11 stores the date and time, the minimum depth, the attribute, and the coordinates output from the clock unit 18 as the recognized top data in the history DB 151 (step S156). CPU11 reads the adult mark of the 1st field from storage part 15 (Step S157).
The CPU 11 displays the image acquired from the sensor 2 on the display unit 14. The CPU 11 refers to the coordinates and displays the read adult mark superimposed on the image (step S158). CPU11 acquires a coordinate and a depth in the 2nd field from sensor 2 (Step S159). CPU11 reads the template model of 2nd area | region from the memory | storage part 15 (step S161). The CPU 11 generates a plurality of contrast models within a predetermined depth range based on the acquired coordinates and depth (step S162). The CPU 11 determines whether or not the difference between the template model and the comparison model is within an allowable value range (step S163). If the CPU 11 determines that the value is not within the allowable value range (NO in step S163), the process proceeds to step S175.
If the CPU 11 determines that the value is within the allowable value range (YES in step S163), the process proceeds to step S164. The CPU 11 acquires the minimum depth and the head coordinates corresponding to the minimum depth from the acquired depth (step S164). The CPU 11 stores the date and time, the minimum depth, and the coordinates output from the clock unit 18 as the recognized top data in the history DB 151 (step S165).
CPU11 reads threshold distance from the memory | storage part 15 (step S166). The CPU 11 determines whether or not the top coordinate distance between the first object recognized as an adult and the second object determined to be within the allowable range in step S164 is equal to or greater than a threshold distance (step S167). If the CPU 11 determines that the distance is equal to or greater than the threshold distance (YES in step S167), the process proceeds to step S168.
The CPU 11 stores the attribute “child” in the history DB 151 (step S168). CPU11 reads the child mark of 2nd area | region from the memory | storage part 15 (step S169). The CPU 11 displays the image acquired from the sensor 2 on the display unit 14. The CPU 11 refers to the coordinates and displays the read child mark of the second area superimposed on the image (step S171).
If the CPU 11 determines that the distance is not greater than or equal to the threshold distance (NO in step S167), the process proceeds to step S172. The CPU 11 stores the attribute “Dako toddler” in the history DB 151 (step S172). The CPU 11 reads out the baby mark in the second area from the storage unit 15 (step S173). The CPU 11 displays the image acquired from the sensor 2 on the display unit 14. The CPU 11 refers to the coordinates, and displays the read child mark of the second area superimposed on the image (step S174).
CPU11 acquires a coordinate and a depth in the 3rd field from sensor 2 (Step S175). CPU11 reads the template model of 3rd area | region from the memory | storage part 15 (step S176). The CPU 11 generates a plurality of comparison models within a predetermined depth range based on the acquired coordinates and depth (step S177). The CPU 11 determines whether or not the difference between the template model and the comparison model is within an allowable value range (step S178). If the CPU 11 determines that the value is not within the allowable value range (NO in step S178), the process proceeds to step S189.
If the CPU 11 determines that the value is within the allowable range (YES in step S178), the process proceeds to step S179. CPU11 acquires the top coordinate corresponding to the minimum depth and the minimum depth from the acquired depth (step S179). The CPU 11 stores the date and time, the minimum depth, and the coordinates output from the clock unit 18 as the recognized top data in the history DB 151 (step S181).
The CPU 11 determines whether or not the top coordinate distance between the first object recognized as an adult and the second object determined to be within the allowable range in step S178 is equal to or greater than the threshold distance (step S182). If the CPU 11 determines that the distance is equal to or greater than the threshold distance (YES in step S182), the process proceeds to step S183.
The CPU 11 stores the attribute “walking infant” in the history DB 151 (step S183). CPU11 reads the walking infant mark of a 3rd area | region from the memory | storage part 15 (step S184). The CPU 11 displays the image acquired from the sensor 2 on the display unit 14. The CPU 11 refers to the coordinates and displays the read walking infant mark in the third area superimposed on the image (step S185).
If the CPU 11 determines that the distance is not greater than or equal to the threshold distance (NO in step S182), the process proceeds to step S186. The CPU 11 stores the attribute “children walking with children” in the history DB 151 (step S186). The CPU 11 reads out the child-rearing walking infant mark in the third area from the storage unit 15 (step S187).
The CPU 11 displays the image acquired from the sensor 2 on the display unit 14. The CPU 11 refers to the coordinates and displays the read child-rearing walking infant mark in the third area superimposed on the image (step S188).
The CPU 11 refers to the history DB 151 and calculates the cumulative number of people for each attribute. The CPU 11 stores the calculated cumulative number of persons in the history DB 151 for each attribute (step S189). The CPU 11 outputs the cumulative number of people for each attribute to the display unit 14 (step S1810). As a result, when an infant is in close contact with an adult, there is a risk of being mistakenly recognized as a whole, and it is possible to recognize multiple persons after distinguishing whether they are hugging or walking It becomes. Moreover, since the child and the infant are distinguished according to the depth, it becomes possible to grasp the movement of the pedestrian more finely. In addition, since the marks are displayed on the display unit 14 in different forms depending on the recognized attributes of the plurality of heads, the operator can easily visually recognize the marks.
The third embodiment is as described above, and the other parts are the same as those in the first to second embodiments. Therefore, the corresponding parts are denoted by the same reference numerals and the detailed description thereof is omitted.
The fourth embodiment relates to a mode for determining whether or not the infant being held is in a sleeping state. FIG. 19 is an explanatory diagram showing an approaching situation of an infant. When the CPU 11 determines that the attribute is an infant, the CPU 11 determines whether the infant is in a sleeping state. The CPU 11 reads a second distance (for example, 15 cm) shorter than the first distance from the storage unit 15. CPU11 judges whether the distance in the plane of the top coordinates of the 1st object and the top coordinates of the 2nd object is below the 2nd distance. When the CPU 11 determines that the distance is equal to or less than the second distance, the CPU 11 determines that the infant is in a sleeping state.
For example, if a toddler is sleeping, the child will not be able to maintain his / her posture, so he will be entrusted to an adult who is holding the entire body, including the head. Accordingly, the distance in the plane between the tops of the heads of the infant being carried and the adult holding it is considered to be a fairly close distance (for example, a distance closer than 15 cm). On the other hand, if the infant being held is awake, that is, in an active state, the child will maintain his / her posture. Therefore, the distance in the plane between the tops of the heads is considered to be farther than that when sleeping.
For example, people who are in a certain queue can be measured by the sensor 2. When the sensor 2 determines that the adult is holding the child and the child is in the sleeping state, the content of the information provided to the person in the queue, such as voice or image, It can be considered as content. In addition, when it is determined that the infant is awake, it is conceivable that the information provided is content for the infant.
FIG. 20 is an explanatory diagram showing a record layout of the history DB 151. A new sleeping field is provided. When it is determined that the CPU 11 is in the sleep state, the CPU 11 stores the sleep flag in association with the attribute child.
FIG. 21 is a flowchart showing the procedure of recognition processing. CPU11 performs the following processes after the process of step S172. The CPU 11 calculates the distance between the top coordinates of the first object and the second object (step S211). CPU11 reads 2nd distance from the memory | storage part 15 (step S212). The CPU 11 determines whether or not the calculated distance is equal to or less than the second distance (step S213). If the CPU 11 determines that the distance is equal to or less than the second distance (YES in step S213), the process proceeds to step S214.
The CPU 11 stores a sleep flag in the history DB 151 in association with the stored attributes of the baby infant (step S214). CPU11 reads the sleep infant mark of 2nd area | region from the memory | storage part 15 (step S215). The CPU 11 displays the image acquired from the sensor 2 on the display unit 14. The CPU 11 refers to the coordinates and displays the read sleeping infant mark in the second area superimposed on the image (step S216). The CPU 11 calculates the cumulative number of baby infants with the sleep flag set (step S217). The CPU 11 outputs the calculated cumulative number to the display unit 14 (step S218).
If the CPU 11 determines that the calculated distance is not less than or equal to the second distance (NO in step S213), the process proceeds to step S219. The CPU 11 reads out the baby mark in the second area from the storage unit 15 (step S219). The CPU 11 displays the image acquired from the sensor 2 on the display unit 14. The CPU 11 refers to the coordinates, and displays the read child mark of the second area superimposed on the image (step S2111). Thereby, it is possible to grasp whether or not the infant is in a sleeping state, and the facility side can effectively use the information.
The fourth embodiment is as described above, and the others are the same as those of the first to third embodiments. Therefore, the corresponding parts are denoted by the same reference numerals, and detailed description thereof is omitted.
Embodiment 5 relates to a form for recognizing a stroller. When the CPU 11 acquires the depth and recognizes a plurality of wheel shapes in the third region, the CPU 11 determines that the vehicle is a stroller. In this embodiment, an example of recognizing a four-wheel stroller will be described. However, the present invention is not limited to this. It is sufficient if there are three or more wheels. The CPU 11 determines that it is a stroller when a plurality of semi-cylindrical shapes having a predetermined width (for example, a wheel width of 3 cm to 10 cm) are detected in the third region. When the CPU 11 refers to the history DB 151 and determines that an infant exists in the coordinate area surrounded by the detected plurality of wheels, the CPU 11 determines that the infant is sitting in the stroller.
FIG. 22 is an explanatory diagram showing a record layout of the history DB 151. A stroller infant is newly provided as an attribute. In addition to the stroller, the cumulative number of people includes a field for stroller infants. When the CPU 11 recognizes the stroller, the CPU 11 increments the cumulative number of strollers. When the CPU 11 recognizes the baby stroller and determines that the parietal coordinates of the second target determined to be a child walking with a child belong to the region surrounded by the recognized wheels, the CPU 11 rewrites the attribute to the baby stroller infant. Further, the CPU 11 increments the cumulative number of stroller infants.
23 and 24 are flowcharts showing the procedure of the recognition process. CPU11 acquires a coordinate and a depth in the 3rd field from sensor 2 (Step S231). CPU11 reads the template model of the baby carriage of the 3rd field from storage part 15 (Step S232). In addition, the template model of the wheel of a baby stroller may be prepared by measuring the baby stroller of each manufacturer in advance. The CPU 11 generates a plurality of comparison models within a predetermined depth range based on the acquired coordinates and depth (step S233). The CPU 11 extracts a comparison model in which the difference between the template model and the comparison model is within the allowable value range (step S234).
The CPU 11 determines whether or not there are a plurality of wheels depending on whether or not there are a plurality of comparison models within the allowable value range (step S235). CPU11 complete | finishes a process, when it is judged that a some wheel does not exist (it is NO at step S235). If the CPU 11 determines that there are a plurality of wheels (YES in step S235), the CPU 11 proceeds to step S236. CPU11 judges that it is a stroller and acquires the top coordinates corresponding to the minimum depth and the minimum depth of each wheel from the acquired depth (Step S236). The CPU 11 stores the date and time output from the clock unit 18 and the minimum depth and coordinates of each wheel in the RAM 12 (step S237).
The CPU 11 increments the cumulative number of strollers (step S238). The CPU 11 determines whether or not it has been recognized as a child walking with children according to the above-described embodiment (step S239). CPU11 complete | finishes a process, when not recognizing with a child with children walking (it is NO at step S239). CPU11 makes a process transfer to step S241, when it recognizes as a child with children walking (it is YES at step S239). The CPU 11 refers to the coordinates of each wheel in the RAM 12 and the coordinates of the child walking with the child in the history DB 151, and determines whether or not the head coordinates exist in an area surrounded by the coordinates of the plurality of wheels (step S241).
If the CPU 11 determines that there is no head coordinate (NO in step S241), the CPU 11 ends the process. If the CPU 11 determines that head coordinates exist (YES in step S241), the process proceeds to step S242. The CPU 11 changes the attribute in the history DB 151 from the infant walking with children to the baby stroller (step S242). The CPU 11 increments the cumulative number of stroller infants in the history DB 151 (step S243). The CPU 11 outputs the cumulative number of strollers stored in the history DB 151 or the cumulative number of stroller infants to the display unit 14. Thereby, it becomes possible to grasp the number of strollers and the number of infants riding on the strollers. In addition, although the form which recognizes two front wheels and two rear wheels was illustrated in this embodiment, it is not limited to this. The CPU 11 may recognize other characteristic portions. For example, the CPU 11 may determine that it is a stroller when it recognizes two front wheels and the left and right fingers of a person placed on a handle provided on the upper side of the rear wheel. In addition, the CPU 11 may determine that it is a stroller when it recognizes one front wheel, two rear wheels, and left and right human fingers placed on a handle provided on the upper side of the rear wheel.
The fifth embodiment is as described above, and the others are the same as in the first to fourth embodiments. Therefore, the corresponding parts are denoted by the same reference numerals, and detailed description thereof is omitted.
Embodiment 6 relates to a form for recognizing a wheelchair. CPU11 judges that it is a wheelchair, if the depth is acquired and the wheel shape concerning a plurality of wheelchairs is recognized in the 3rd field. For example, it has a predetermined width (for example, a wheel width of 3 cm to 5 cm), a predetermined depth (for example, a depth of 1.7 m to 1.9 m) for the front wheel, and a predetermined depth for the rear wheel (for example, a depth of 2.2 m to 2.m). What is necessary is just to judge that it is a wheelchair, when multiple semi-cylindrical shapes which have 3m) are detected in a 3rd area | region. If the CPU 11 refers to the history DB 151 and determines that a child or a baby kid related to the second area exists in the coordinate area between the detected plurality of wheels, the CPU 11 determines that a person is sitting in the wheelchair.
FIG. 25 is an explanatory diagram showing a record layout of the history DB 151. A new person on a wheelchair is provided as an attribute. In addition to the wheelchair, the cumulative number of people is provided with a field for people on the wheelchair. When the CPU 11 recognizes the wheelchair, the CPU 11 increments the cumulative number of wheelchairs. If the CPU 11 recognizes the wheelchair and determines that the vertex coordinates of the second object determined to be a child in the second region or a child of the child are within the region surrounded by the plurality of wheels recognized, the wheelchair is assigned. Rewrite as a human on board. The CPU 11 increments the cumulative number of people on the wheelchair.
26 and 27 are flowcharts showing the procedure of the recognition process. CPU11 acquires a coordinate and a depth in the 3rd field from sensor 2 (Step S261). CPU11 reads the template model of the wheelchair of the 3rd field from storage part 15 (Step S262). A wheelchair wheel template model may be prepared by measuring the wheelchairs of each manufacturer in advance. The CPU 11 generates a plurality of contrast models within a predetermined depth range based on the acquired coordinates and depth (step S263). The CPU 11 extracts a comparison model in which the difference between the template model and the comparison model is within the allowable value range (step S264).
The CPU 11 determines whether or not there are a plurality of wheels depending on whether or not there are a plurality of comparison models within the allowable value range (step S265). CPU11 complete | finishes a process, when it is judged that a some wheel does not exist (it is NO at step S265). If the CPU 11 determines that there are a plurality of wheels (YES in step S265), the CPU 11 proceeds to step S266. CPU11 judges that it is a wheelchair, and acquires the top coordinate corresponding to the minimum depth and the minimum depth of each wheel from the acquired depth (step S266). The CPU 11 stores the date and time output from the clock unit 18 and the minimum depth and coordinates of each wheel in the RAM 12 (step S267).
The CPU 11 increments the cumulative number of wheelchairs (step S268). The CPU 11 determines whether or not it has been recognized as a child or a baby boy by the above-described embodiment (step S269). CPU11 complete | finishes a process, when it is not recognizing with a child or a baby child (NO in step S269). If the CPU 11 recognizes it as a child or a baby boy (YES in step S269), the process proceeds to step S271. The CPU 11 refers to the coordinates of each wheel in the RAM 12 and the coordinates of the child or the baby in the history DB 151, and determines whether or not the head coordinates exist in the area surrounded by the coordinates of the plurality of wheels (step S271). .
If the CPU 11 determines that the head coordinates do not exist (NO in step S271), the process ends. If the CPU 11 determines that head coordinates exist (YES in step S271), the process proceeds to step S272. The CPU 11 changes the attribute in the history DB 151 from a child or a kid to a person on a wheelchair (step S272). The CPU 11 increments the cumulative number of people on the wheelchair in the history DB 151 (step S273). The CPU 11 outputs the cumulative number of wheelchairs stored in the history DB 151 or the cumulative number of people on the wheelchair to the display unit 14. This makes it possible to grasp the number of wheelchairs and the number of people on the wheelchairs. Note that the processing described in Embodiment Mode 5 may be performed together. Moreover, although the form which recognizes two front wheels and two rear wheels is illustrated in this embodiment, it is not limited to this. The CPU 11 may recognize other characteristic portions. For example, the CPU 11 may determine that the wheelchair is a wheelchair when it recognizes two front wheels and left and right human fingers placed on a handle provided on the upper side of the rear wheel. In addition, the CPU 11 may determine that it is a wheelchair when it recognizes two front wheels, two rear wheels, and left and right human fingers placed on a handle provided on the upper side of the rear wheel.
The sixth embodiment is as described above, and the other parts are the same as those of the first to fifth embodiments. Therefore, the corresponding parts are denoted by the same reference numerals, and detailed description thereof is omitted.
The seventh embodiment relates to a mode in which a sensor is installed on the side of a passing human. FIG. 28 is an explanatory diagram showing an outline of the information processing system. You may provide in the side of the person who passes the same sensor 3 as the sensor 2 like this embodiment.
FIG. 29 is a flowchart showing the procedure of recognition processing. The CPU 11 acquires the coordinates of the head, left shoulder, right shoulder, neck, and spine (step S291). CPU11 acquires the depth of a head, a left shoulder, a right shoulder, a neck, and a spine (step S292). The CPU 11 calculates the head, left shoulder, right shoulder, neck, and spine interval ratio from the acquired coordinates and depth (step S293). The CPU 11 reads the interval ratio template stored in the storage unit 15. The CPU 11 determines whether or not the calculated interval ratio is within an allowable range with respect to the template interval ratio (step S294).
If the CPU 11 determines that it is within the allowable range (YES in step S294), it determines that the passerby is one (step S296). If the CPU 11 determines that it is not within the allowable range (NO in step S294), the process proceeds to step S295. The CPU 11 reads the template depth of the head, left shoulder, right shoulder, neck, and spine from the storage unit 15. The CPU 11 compares the depth of the head, left shoulder, right shoulder, neck, and spine with the depth of the head, left shoulder, right shoulder, neck, and spine of the template and determines whether or not it is within the allowable range ( Step S295). When the CPU 11 determines that the value is within the allowable value range (YES in step S295), the CPU 11 determines that the passerby is alone (step S296).
If the CPU 11 determines that the value is not within the allowable value range (NO in step S295), the process ends. In this case, the CPU 11 determines that the target is a combination of an infant and an infant, an adult and a relatively large baggage, or a situation where a plurality of persons are in close contact. Thus, it becomes possible to raise recognition accuracy by using the sensor 3 also from the side.
The seventh embodiment is as described above, and the others are the same as the first to sixth embodiments. Therefore, the corresponding parts are denoted by the same reference numerals, and detailed description thereof is omitted.
FIG. 30 is a functional block diagram showing the operation of the computer 1 having the above-described form. When the CPU 11 executes the control program 15P, the computer 1 operates as follows. The determination unit 301 analyzes a depth acquired from a depth sensor installed at a position where sensing can be performed from above a human head, and determines whether there is a target that satisfies the detection criterion for the head shape. The output unit 302 outputs information indicating the presence of a person according to the determination result.
FIG. 31 is a block diagram illustrating a hardware group of the computer 1 according to the eighth embodiment. A program for operating the computer 1 reads a portable recording medium 1A such as a CD-ROM, a DVD (Digital Versatile Disc) disk, a memory card, or a USB (Universal Serial Bus) memory into a reading unit 10A such as a disk drive. It may be stored in the storage unit 15. Further, a semiconductor memory 1B such as a flash memory storing the program may be mounted in the computer 1. Further, the program can be downloaded from another server computer (not shown) connected via a communication network N such as the Internet. The contents will be described below.
The computer 1 shown in FIG. 31 reads a program for executing the above-described various software processes from the portable recording medium 1A or the semiconductor memory 1B or downloads it from another server computer (not shown) via a communication network. . The program is installed as the control program 15P, loaded into the RAM 12, and executed. Thereby, it functions as the computer 1 described above.
The eighth embodiment is as described above, and the others are the same as those of the first to seventh embodiments. Therefore, the corresponding parts are denoted by the same reference numerals, and detailed description thereof is omitted.
With respect to the embodiments including the above first to eighth embodiments, the following additional notes are further disclosed.
Analyzing the depth obtained from the depth sensor installed at a position where sensing can be performed from above the human head, determining whether there is a target that meets the head shape detection criteria,
An information processing method characterized by causing a computer to execute a process of outputting information indicating the presence of a person according to a determination result.
The information processing method according to appendix 1, wherein the head shape detection criterion is a substantially hemispherical shape.
The information indicating the presence of the person is information indicating that there are the same number of persons as the number of targets determined to satisfy the detection criterion of the head shape. Information processing method.
The information processing method according to any one of appendices 1 to 3, wherein information indicating the presence of an adult or a child is output as information indicating the presence of the person according to a depth of the object. .
The information processing method according to appendix 4, wherein when the depth of the object is shorter than the first depth, information indicating the presence of an adult is output as information indicating the presence of the person.
The information processing method according to appendix 4, wherein when the depth of the object is longer than a second depth, information indicating the presence of a child is output as information indicating the presence of the person.
When the depth for the object is shorter than the first depth, information indicating the presence of an adult is output as information indicating the presence of the person, and when the depth for the object is greater than or equal to the first depth, or The information processing method according to appendix 4, wherein information indicating the presence of a child is output as information indicating the presence of the person when the depth is longer than a second depth that is longer than the first depth.
There are a plurality of objects that satisfy the detection criterion of the head shape, the distance between the first object and the second object is within a predetermined distance range, and the depth of the first object corresponds to an adult. When it belongs to the depth range and the depth of the second target belongs outside the depth range corresponding to the adult, the information indicating the presence of the person is output as the information indicating the presence of the person,
The information processing method according to appendix 1, characterized in that:
The type of the child of the second target is determined according to the depth of the second target, and the determined type of the child is output as information indicating the presence of the person. 9. The information processing method according to 8.
Detecting one or more objects having a shape corresponding to the shape of a person's head using a depth sensor that senses the lower part;
An information processing method comprising: assigning symbols corresponding to a person and displaying them on a computer display for one or more detected objects.
The information processing method according to appendix 10, wherein the detected one or more objects are assigned different adult or child symbols according to the depth and are displayed on the display.
A program for causing a computer to execute a process of outputting information indicating the presence of a person according to a determination result.
A determination unit that analyzes the depth acquired from a depth sensor installed at a position where sensing can be performed from above a human head and determines whether there is a target that satisfies the detection criterion of the head shape,
An information processing apparatus comprising: an output unit that outputs information indicating the presence of a person according to a determination result.
The information processing method according to appendix 8, further comprising: outputting information indicating that a child is sleeping when the distance between the first object and the second object is equal to or less than the first distance.
Determine whether there is a stroller based on the depth obtained from the depth sensor;
The information processing method according to attachment 1, wherein information indicating a stroller is output when it is determined that the baby stroller exists.
The information indicating that a child is present on the stroller is output when it is determined that the stroller exists and it is determined that there is an object that satisfies the head shape detection criterion in the stroller existing region. Information processing method.
Determine whether a wheelchair exists based on the depth obtained from the depth sensor,
The information processing method according to attachment 1, wherein information indicating a wheelchair is output when it is determined that the wheelchair exists.
If the wheelchair is judged to exist and if it is judged that there is an object that satisfies the head shape detection criteria in the wheelchair existing area, information indicating that a person is present on the wheelchair is output. Information processing method.
The information processing method according to appendix 1, wherein information indicating the presence of a person is superimposed and displayed on an image captured from an imaging device provided in association with the depth sensor.
The information processing according to appendix 4, wherein information indicating the presence of an adult and information indicating the presence of a child are superimposed and displayed on an image captured from an imaging device provided in association with the depth sensor in different forms. Method.
DESCRIPTION OF SYMBOLS 1 Computer 1A Portable recording medium 1B Semiconductor memory 2 Sensor 3 Sensor 10A Reading part 11 CPU
23 Imaging unit 24 Depth acquisition unit 25 Storage unit 25P Control program 26 Communication unit 151 History DB
301 determination unit 302 output unit
The information processing method according to claim 1, wherein the detection criterion of the head shape is a substantially hemispherical shape.
JP2014098619A 2014-05-12 2014-05-12 Information processing method, program, and information processing apparatus Pending JP2015216518A (en)
JP2014098619A JP2015216518A (en) 2014-05-12 2014-05-12 Information processing method, program, and information processing apparatus
JP2015216518A true JP2015216518A (en) 2015-12-03
ID=54753019
JP2014098619A Pending JP2015216518A (en) 2014-05-12 2014-05-12 Information processing method, program, and information processing apparatus
JP (1) JP2015216518A (en)
JPH04242877A (en) * 1990-12-28 1992-08-31 Giken Torafuitsuku Kk Method for detecting passerby
JP2005143016A (en) * 2003-11-10 2005-06-02 Hitachi Kokusai Electric Inc Monitoring system and monitoring method
JP2006010318A (en) * 2004-06-22 2006-01-12 Nippon Telegr & Teleph Corp <Ntt> Device and method for detecting subject position and program for the method
JP2006146378A (en) * 2004-11-17 2006-06-08 Hitachi Ltd Monitoring system using multiple camera
JP2006185166A (en) * 2004-12-27 2006-07-13 Matsushita Electric Works Ltd Human detection method and human detector using depth map
JP2006285409A (en) * 2005-03-31 2006-10-19 Bab-Hitachi Industrial Co Method for counting number of people and people flow at store or the like, and method for suggesting in-store merchandizing using the same
JP2010191487A (en) * 2009-02-13 2010-09-02 Sony Corp Information processing apparatus and information processing method
JP2010262527A (en) * 2009-05-08 2010-11-18 Nabtesco Corp Passing person counting device, passing person counting method and passing person counting program
JP2011047772A (en) * 2009-08-26 2011-03-10 Konan Gakuen Object detection system, control method of the same, control program, and recording medium
JP2011081736A (en) * 2009-10-09 2011-04-21 Clarion Co Ltd Pedestrian detection system
JP2012011989A (en) * 2010-07-05 2012-01-19 East Japan Railway Co Monitoring camera system of station platform
2014-05-12 JP JP2014098619A patent/JP2015216518A/en active Pending
JP6577642B2 (en) 2019-09-18 Computer-based method and system for providing active and automatic personal assistance using automobiles or portable electronic devices
CN104137594B (en) 2018-03-02 Sensor tracking activity, speed and direction of advance are used in mobile device or other systems
Marcroft et al. 2015 Movement recognition technology as a method of assessing spontaneous general movements in high risk infants
CN104898652B (en) 2018-03-13 Mutually exchanged with a moveable tele-robotic
Kepski et al. 2014 Fall Detection using Ceiling-mounted 3D Depth Camera.
Shao et al. 2008 A real-time computer vision assessment and control of thermal comfort for group-housed pigs