Abstract:
A security system for tracking suspicious characteristics, the system includes first and second cameras each for monitoring and capturing images in a predefined area; and a computer electrically connected to the each camera and which computer is programmed to identify one or more movements that exceeds a predetermined threshold that is predefined as suspicious movement; wherein, when suspicious movement is detected by the first camera, the computer communicates to the second camera coordinates at which the suspicious movement will enter the predefined area of the second camera so that tracking is maintained within a larger predefined area.

Description:
FIELD OF THE INVENTION  
         [0001]    The invention relates generally to the field of video surveillance and, more particularly, to such video surveillance which coordinates two or more video cameras with a programmed computer so that surveillance is automated and so that the area of security surveillance is increased without any loss of effectiveness.  
         BACKGROUND OF THE INVENTION  
         [0002]    The proliferation of video surveillance and its various uses is well known to a large percentage of the general populace. The presence of cameras in malls, airports, businesses, and even on the street has familiarized people with the fact that video surveillance of some kind is regularly used. The function of such monitoring is both to prevent and identify crimes and to record activities at a vast number of locations. Since the identification of suspicious activity with such equipment is subject to the attention and lapses thereof of the monitoring personnel, these video systems are often more effective at registering a singular blatant act, but are much less effective at identifying a single piece of suspicious activity, or a series of suspicious activities over a long period of time. Given these times of terrorist activity, random and/or instantaneous acts that need intervention by proper authorities at a moment&#39;s notice, improvements are both more desirable and valuable.  
           [0003]    U.S. Pat. No. 5,969,755 and U.S. Pat. No. 6,424,370 B1 disclose a motion based detection system and method that include providing a set of indexes derived from motion video. These indexes provide means to detect motion. Through the addition of extra processing, events of interest such as appearance/disappearance, deposit/removal, entrance/exit and motion/rest can also be determined. However, these above prior art patents lack fundamental advantages that are necessary to build a successful monitoring system which specifically targets suspicious activity.  
           [0004]    Consequently, a need exists to prevent random and instantaneous acts of terrorism by determining which activities by individuals or groups thereof, are considered suspicious, and upon determination, provide a way to automatically track those movements or activities without need for manual intervention by security personnel.  
         SUMMARY OF THE INVENTION  
         [0005]    The invention herein discloses significant advantages over present prior art. First, the present invention permits the placement of a predetermined threshold value on what may be considered suspicious activity, and can therefore initiate formal tracking of an event based upon that preset threshold. Secondly, the present invention can allow a predetermined time limit for the aforementioned formal tracking. This predetermined time limit is initiated when the formally tracked suspicious activity falls below the predetermined threshold. Formal tracking will continue for the predetermined time limit, and lacking any further suspicious activity, record the last tracked frame as a still picture. The system will then return to random search activity for suspicious movement, using the predetermined threshold criteria. Thirdly, the present invention uses a coordinate based tracking system that allows the suspicious events to be transferable from camera to camera. Since cameras of the present invention have some zonal overlap, these cameras have the ability to transfer formal suspicious activity tracking from zone to zone or more specifically from spot to spot. These system attributes, along with the ability to signal the attention of distracted or inattentive security personnel to a suspicious event, create significant advantages over the prior art for the tracking of terrorist activities.  
           [0006]    The above and other objects of the present invention will become more apparent when taken in conjunction with the following description and drawings wherein identical reference numerals have been used, where possible, to designate identical elements that are common to the figures.  
         ADVANTAGEOUS EFFECT OF THE INVENTION  
         [0007]    The present invention has the following advantage of preventing random acts of terrorism from being completed. It also provides means to automatically track suspicious movement from one monitored area to another. 
       
    
    
     BRIEF DESCRIPTION OF THE DRAWINGS  
       [0008]    [0008]FIG. 1 is a top view of an area to be monitored;  
         [0009]    [0009]FIG. 2 is a top view drawing of the area to be monitored and visually details the X, Y coordinate pattern which, in part, facilitates camera tracking from zone to zone;  
         [0010]    [0010]FIG. 3 is a side view drawing of the area needing to be monitored visually details the Z coordinate pattern that in part facilitates camera tracking from zone to zone; and  
         [0011]    [0011]FIG. 4 details a flowchart detailing the tracking process of suspicious activity. 
     
    
     DETAILED DESCRIPTION OF THE INVENTION  
       [0012]    Referring to FIG. 1, there is a diagram of the security system of the present invention. A top view of a general area  10  consists of perimeter walls  20 , a first partition  30  and a second partition  35 . A first camera  40  and a second camera  50  are securely mounted upon perimeter wall  20 . First camera  40  covers first monitor zone  80 , and second camera  50  covers second monitor zone  90  of general area  10 , so that suspicious activities cannot go undetected, and continuous and overlapping camera coverage is achieved. Monitoring separation between first monitor zone  80  and second monitor zone  90  is shown by dashed line  75 . Additionally a first 2-axis control member  60  is attached to first camera  40 , and a second 2-axis control member  70  is attached to a second camera  50 .  
         [0013]    Referring now to FIG. 2., detailed is a top view  100  of general area  10  (from FIG. 1). First camera  40  which is attached to first 2-axis control member  60  is capturing video information for analysis from first monitor zone  80 , and first 2-axis control member  60  is both moving first camera  40  and gathering position data from first camera  40  for conversion to X, Y position data. Additionally, second camera  50  which is attached to second 2-axis control member  70 , is capturing video information for analysis from second monitor zone  90 , while second 2-axis control member  70  is both moving second camera  50  and gathering position data from second camera  50  for conversion to X, Y position data. First data cable  110  is attached to first camera  40  and second data cable  120  is attached to second camera  50 , and sends raw data to be processed to analysis computer  130 . The raw data is then used to determine if a predefined threshold is broken. An example of such for motion is when a change in positional data for a subject being tracked is high enough above the predefined threshold to indicate that the subject is sprinting. For example, using change detection, tracking changes from one frame to the next can be accomplished. This is accomplished by a Baysian Classifier which includes a plurality of motion detection data. By comparing data from a particular frame of interest to information stored in the database of the Baysian Classifier, a threshold for determining suspicious activities can be determined. One skilled in the art may vary the threshold depending on the environment of the captured images. If a camera detects suspicious activity, in this case first camera  40 , the location of the suspect activity needs to be precisely located for tracking. Additionally, if the suspect activity moves from first monitor zone  80  to second monitor zone  90 , X, Y, and now Z data must be determined for first camera  40  to pass the suspect activity from first monitor zone  80  to second camera  50  and second monitor zone  90 .  
         [0014]    Referring now to FIG. 3, detailed is a side view  105 , comprised of first monitor zone  80  and monitored by first camera  40 , and second monitor zone  90  that is monitored by second camera  50 . In order for suspicious activity to be efficiently tracked from one zone to the next, it is required to have accurate X, Y, and Z data for a first camera monitoring within a first zone to pass that suspicious activity to a second camera monitoring within a second zone.  
         [0015]    To calculate the X, Y, and Z data, components from the X-Y axis and X-Z axis must be combined. Because of an inability to see 3D in perspective 2D views, both axes show only an apparent camera to activity distance. From FIG. 2, which is a top view  100 , there is a first apparent distance R′  135  and from FIG. 3 there is a side view of a second apparent distance R″  145 . Additionally in FIG. 2, a first dashed line  155  that is the X component, sets a right angle to the perimeter wall  20 . The second dashed line  150  that is also the Y component sets a perpendicular right angle to first dashed line  155 . Referring next to FIG. 3, suspicious movement is exhibited by a subject  165  represented in the drawing. The position of subject  165  in the side view  105  is determined by the derivation of the X component  155 , and the Z component  160 , using the R″ component  145 , and the Y component  150  from FIG. 2.  
         [0016]    To derive an accurate X, Y, and Z position, the following equations are used:  
         X=R′ cos θ 
         Y=R′ sin θ 
         Z=R″ sin φ 
         X=R″ cos φ 
         [0017]    Where θ and φ are known from first and second two axis control members  60  and  70 , and R represents the actual focus distance from a first camera  40  or a second camera  50  to any suspicious activity. Using the Pythagorean Theorem, which is a fifth equation, the ability to solve for the five unknowns with the above five equations allows the derivation of the following:  
       X   =       R                 cos                 φ             (       cos                 φ       cos                 θ       )     ^   2     +       (     sin                 θ     )     ^   2                   Y   =       R                 tan                 θ                 cos                 φ             (       cos                 φ       cos                 θ       )     ^   2     +       (     sin                 θ     )     ^   2                   Z   =       R                 sin                 φ             (       cos                 φ       cos                 θ       )     ^   2     +       (     sin                 θ     )     ^   2                                 
 
         [0018]    Referring back to FIG. 3, since accurate X, Y, and Z dimensions are thus easily calculated and easily obtained suspicious subject movements can be passed from first monitor zone  80  to second monitor zone  90  by analysis computer  130  (from FIG. 2.). It must be noted at this point that this ability to pass camera tracking automatically from one zone to another can be expanded to multiple zones and multiple areas such as buildings, airports and a multiplicity of inside and outside spaces.  
         [0019]    [0019]FIG. 4, is a software flowchart  170  of an activity monitoring system. The system starts S 1 , and then proceeds to set a pre-defined threshold of the change detection and tracking timer S 2 . This setting is used to monitor a first zone for suspicious movement S 3 . If activity is detected S 4 , a tracking timer S 5  is started. If no activity is detected S 4 , flow is redirected back to monitor a first zone for suspicious movement S 3 . Referring back to begin tracking timer S 5 , activity is tracked S 6 . If tracking time expires S 7 , tracking is stopped S 8 , and an image is captured S 9 , and flow is redirected to monitor a first zone for suspicious movement S 3 . Those skilled in the art will readily recognize that the image may be either a digital image or a photographic image. If tracking time S 7  did not expire, flow is directed to S 10 , did activity exit zone? If no, flow is redirected to S 6 , track activity. If activity did exit the zone S 10 , flow is directed to pass to next camera zone S 11 . The next action after passing to S 11  is to connect to the next camera zone S 12 , and then pass position coordinates to that camera S 13  to resume tracking activity S 6  in another zone to which the suspicious activity has moved. It should be noted at this point that there is no real end to the software operation described above in that the operation is actually an operating loop. Additionally, software operations in adjacent zones are operated in parallel.  
         [0020]    The invention has been described with reference to a preferred embodiment. However, it will be appreciated that variations and modifications can be effected by a person of ordinary skill in the art without departing from the scope of the invention.  
       PARTS LIST  
       [0021]    [0021] 10  General Area  
         [0022]    [0022] 20  Perimeter Walls  
         [0023]    [0023] 30  First Partition  
         [0024]    [0024] 35  Second Partition  
         [0025]    [0025] 40  First Camera  
         [0026]    [0026] 50  Second Camera  
         [0027]    [0027] 60  First 2-Axis Control Member  
         [0028]    [0028] 70  Second 2-Axis Control Member  
         [0029]    [0029] 76  Dashed Line  
         [0030]    [0030] 80  First Monitor Zone  
         [0031]    [0031] 90  Second Monitor Zone  
         [0032]    [0032] 100  Top View  
         [0033]    [0033] 105  Side View  
         [0034]    [0034] 110  First Data Cable  
         [0035]    [0035] 120  Second Data Cable  
         [0036]    [0036] 130  Analysis Computer  
         [0037]    [0037] 135  First Apparent Distance R′ 
         [0038]    [0038] 140  Second Apparent Distance R″ 
         [0039]    [0039] 150  Second Dashed Line (Y Component)  
         [0040]    [0040] 155  First Dashed Line (X component)  
         [0041]    [0041] 160  Z Component  
         [0042]    [0042] 165  Subject  
         [0043]    [0043] 170  Software Flow Chart  
         [0044]    S 1 -S 13  Software Flow Chart Steps