Patent Publication Number: US-2022214752-A1

Title: Gesture-based targeting control for image capture devices

Description:
FIELD 
     This disclosure relates to changing targeting of an image capture device based on gestures. 
     BACKGROUND 
     Selecting a target of an image capture device may require a user to physical interact with the image capture device, such as by pressing a button or tapping on a touchscreen of the image capture device. Such physical interaction with the image capture device may be cumbersome, difficult, and/or cause undesired movement of the image capture device. 
     SUMMARY 
     This disclosure relates to changing targeting of an image capture device based on gestures. An image capture device may capture visual content during a capture duration. A target gesture may be detected within the visual content. The target gesture may identify a subject to be targeted by the image capture device within the visual content. Responsive to detection of the target gesture within the visual content, targeting of the image capture device for future capture of the visual content may be changed to be directed at the subject identified by the target gesture. 
     A system that changes targeting of an image capture device based on gestures may include one or more electronic storages, one or more processors, and/or other components. An electronic storage may store visual information, information relating to visual content, information relating to image capture device, information relating to target of image capture device, information relating to target gesture, information relating to subject to be targeted by image capture device, and/or other information. In some implementations, the system may include one or more optical elements, one or more image sensors, one or more displays, and/or other components. 
     One or more components of the system may be carried by a housing, such as a housing of an image capture device. For example, the optical element(s), the image sensor(s), and/or the display(s) of the system may be carried by a housing of an image capture device. An optical element may be configured to guide light within a field of view to an image sensor. An image sensor may be configured to generate a visual output signal conveying visual information based on light that becomes incident thereon and/or other information. The visual information may define visual content. The housing may carry other components, such as the display(s), processor(s), and/or the electronic storage. 
     The processor(s) may be configured by machine-readable instructions. Executing the machine-readable instructions may cause the processor(s) to facilitate changing targeting of an image capture device based on gestures. The machine-readable instructions may include one or more computer program components. The computer program components may include one or more of a capture component, a target gesture component, a target component, and/or other computer program components. 
     The capture component may be configured to capture the visual content. The visual content may be captured during one or more capture durations. 
     The target gesture component may be configured to detect a target gesture within the visual content. A target gesture may identify a subject to be targeted by the image capture device within the visual content. In some implementations, the target gesture within the visual content may be detected based on voice activation of a gesture target mode of the image capture device and/or other information. 
     In some implementations, the target gesture may include one or more pointing fingers. The subject may be identified based on a direction in which the pointing finger(s) are pointed. 
     In some implementations, the target gesture may include bounding fingers. The subject may be identified based on a portion of the visual content bounded by the bounding fingers. 
     In some implementations, the target gesture includes movement of one or more fingers to trace a shape. The subject may be identified based on a portion of the visual content bounded by the shape. 
     The target component may be configured to, responsive to detection of the target gesture within the visual content, change targeting of the image capture device for future capture of the visual content. The targeting of the image capture device may be changed to be directed at the subject identified by the target gesture. In some implementations, the targeting of the image capture device may be changed without physical interaction of a user with the image capture device. 
     In some implementations, the change in the targeting of the image capture device for future capture of the visual content to be directed at the subject identified by the target gesture may include setting the subject identified by the target gesture as a stabilization target for the future capture of the visual content. 
     In some implementations, the change in the targeting of the image capture device for future capture of the visual content to be directed at the subject identified by the target gesture may include setting the subject identified by the target gesture as a focus target for the future capture of the visual content. 
     In some implementations, the image capture device may further comprise a display. A preview of the change in the targeting of the image capture device for future capture of the visual content to be directed at the subject identified by the target gesture may be presented on the display prior to the change in the targeting of the image capture device. In some implementations, cancellation of the change in the targeting of the image capture device for future capture of the visual content to be directed at the subject identified by the target gesture may be receivable via user interaction with the image capture device. 
     These and other objects, features, and characteristics of the system and/or method disclosed herein, as well as the methods of operation and functions of the related elements of structure and the combination of parts and economies of manufacture, will become more apparent upon consideration of the following description and the appended claims with reference to the accompanying drawings, all of which form a part of this specification, wherein like reference numerals designate corresponding parts in the various figures. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the invention. As used in the specification and in the claims, the singular form of “a,” “an,” and “the” include plural referents unless the context clearly dictates otherwise. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG. 1  illustrates an example system that changes targeting of an image capture device based on gestures. 
         FIG. 2  illustrates an example method for changing targeting of an image capture device based on gestures. 
         FIG. 3  illustrates an example image capture device. 
         FIGS. 4A, 4B, 4C, and 4D  illustrate example target gestures. 
     
    
    
     DETAILED DESCRIPTION 
       FIG. 1  illustrates a system  10  for changing targeting of an image capture device based on gestures. The system  10  may include one or more of a processor  11 , an interface  12  (e.g., bus, wireless interface), an electronic storage  13 , and/or other components. In some implementations, the system  10  may include one or more optical elements, one or more image sensors, one or more displays, and/or other components. The system  10  may include and/or be part of an image capture device. The image capture device may include a housing, and one or more of the optical element(s), the image sensor(s), the display(s), the processor  11 , and/or other components of the system  10  may be carried by the housing the image capture device. An optical element may guide light within a field of view to an image sensor. An image sensor may generate a visual output signal conveying visual information defining visual content based on light that becomes incident thereon. The processor  11  may capture visual content during a capture duration. A target gesture may be detected within the visual content by the processor  11 . The target gesture may identify a subject to be targeted by the image capture device within the visual content. Responsive to detection of the target gesture within the visual content, targeting of the image capture device for future capture of the visual content may be changed by the processor  11  to be directed at the subject identified by the target gesture. 
     The electronic storage  13  may be configured to include electronic storage medium that electronically stores information. The electronic storage  13  may store software algorithms, information determined by the processor  11 , information received remotely, and/or other information that enables the system  10  to function properly. For example, the electronic storage  13  may store visual information, information relating to visual content, information relating to image capture device, information relating to target of image capture device, information relating to target gesture, information relating to subject to be targeted by image capture device, and/or other information. 
     The system  10  may be remote from the image capture device or local to the image capture device. One or more portions of the image capture device may be remote from or a part of the system  10 . One or more portions of the system  10  may be remote from or a part of the image capture device. For example, one or more components of the system  10  may be carried by a housing, such as a housing of an image capture device. For instance, processor(s), optical element(s), image sensor(s), and/or display(s) of the system  10  may be carried by the housing of the image capture device. The housing may carry other components, such as the processor  11  and/or the electronic storage  13 . 
     An image capture device may refer to a device for recording visual information in the form of images, videos, and/or other media. An image capture device may be a standalone device (e.g., camera, action camera, image sensor) or may be part of another device (e.g., part of a smartphone, tablet).  FIG. 3  illustrates an example image capture device  302 . Visual content (e.g., of image(s), video frame(s)) may be captured by the image capture device  302 . The image capture device  302  may include a housing  312 . The housing  312  may refer a device (e.g., casing, shell) that covers, protects, and/or supports one or more components of the image capture device  302 . The housing  312  may include a single-piece housing or a multi-piece housing. The housing  312  may carry (be attached to, support, hold, and/or otherwise carry) an optical element  304 , an image sensor  306 , a processor  310 , a display  322 , a button  324 , and/or other components. One or more components of the image capture device  302  may be the same as, be similar to, and/or correspond to one or more components of the system  10 . Other configurations of image capture devices are contemplated. 
     The optical element  304  may include instrument(s), tool(s), and/or medium that acts upon light passing through the instrument(s)/tool(s)/medium. For example, the optical element  304  may include one or more of lens, mirror, prism, and/or other optical elements. The optical element  304  may affect direction, deviation, and/or path of the light passing through the optical element  304 . The optical element  304  may have a field of view  305 . The optical element  304  may be configured to guide light within the field of view  305  to the image sensor  306 . 
     The field of view  305  may include the field of view of a scene that is within the field of view of the optical element  304  and/or the field of view of the scene that is delivered to the image sensor  306 . For example, the optical element  304  may guide light within its field of view to the image sensor  306  or may guide light within a portion of its field of view to the image sensor  306 . The field of view  305  of the optical element  304  may refer to the extent of the observable world that is seen through the optical element  304 . The field of view  305  of the optical element  304  may include one or more angles (e.g., vertical angle, horizontal angle, diagonal angle) at which light is received and passed on by the optical element  304  to the image sensor  306 . In some implementations, the field of view  305  may be greater than 180-degrees. In some implementations, the field of view  305  may be less than 180-degrees. In some implementations, the field of view  305  may be equal to 180-degrees. 
     In some implementations, the image capture device  302  may include multiple optical elements. For example, the image capture device  302  may include multiple optical elements that are arranged on the housing  312  to capture spherical images/videos (guide light within spherical field of view to one or more images sensors). For instance, the image capture device  302  may include two optical elements positioned on opposing sides of the housing  312 . The fields of views of the optical elements may overlap and enable capture of spherical images and/or spherical videos. 
     The image sensor  306  may include sensor(s) that converts received light into output signals. The output signals may include electrical signals. The image sensor  306  may generate output signals conveying information that defines visual content of one or more images and/or one or more video frames of a video. For example, the image sensor  306  may include one or more of a charge-coupled device sensor, an active pixel sensor, a complementary metal-oxide semiconductor sensor, an N-type metal-oxide-semiconductor sensor, and/or other image sensors. 
     The image sensor  306  may be configured generate output signals conveying information that defines visual content of one or more images and/or one or more video frames of a video. The image sensor  306  may be configured to generate a visual output signal based on light that becomes incident thereon during a capture duration and/or other information. The visual output signal may convey visual information that defines visual content having the field of view. The optical element  304  may be configured to guide light within the field of view  305  to the image sensor  306 , and the image sensor  306  may be configured to generate visual output signals conveying visual information based on light that becomes incident thereon via the optical element  304 . 
     Visual content may refer to content of image(s), video frame(s), and/or video(s) that may be consumed visually. For example, visual content may be included within one or more images and/or one or more video frames of a video. The video frame(s) may define/contain the visual content of the video. That is, video may include video frame(s) that define/contain the visual content of the video. Video frame(s) may define/contain visual content viewable as a function of progress through the progress length of the video content. A video frame may include an image of the video content at a moment within the progress length of the video. As used herein, term video frame may be used to refer to one or more of an image frame, frame of pixels, encoded frame (e.g., I-frame, P-frame, B-frame), and/or other types of video frame. Visual content may be generated based on light received within a field of view of a single image sensor or within fields of view of multiple image sensors. 
     Visual content (of image(s), of video frame(s), of video(s)) with a field of view may be captured by an image capture device during a capture duration. A field of view of visual content may define a field of view of a scene captured within the visual content. A capture duration may be measured/defined in terms of time durations and/or frame numbers. For example, visual content may be captured during a capture duration of 60 seconds, and/or from one point in time to another point in time. As another example, 1800 images may be captured during a capture duration. If the images are captured at 30 images/second, then the capture duration may correspond to 60 seconds. Other capture durations are contemplated. 
     Visual content may be stored in one or more formats and/or one or more containers. A format may refer to one or more ways in which the information defining visual content is arranged/laid out (e.g., file format). A container may refer to one or more ways in which information defining visual content is arranged/laid out in association with other information (e.g., wrapper format). Information defining visual content (visual information) may be stored within a single file or multiple files. For example, visual information defining an image or video frames of a video may be stored within a single file (e.g., image file, video file), multiple files (e.g., multiple image files, multiple video files), a combination of different files, and/or other files. 
     Visual information may define visual content by including information that defines one or more content, qualities, attributes, features, and/or other aspects of the visual content. For example, the visual information may define visual content of an image by including information that makes up the content of the image, and/or information that is used to determine the content of the image. For instance, the visual information may include information that makes up and/or is used to determine the arrangement of pixels, characteristics of pixels, values of pixels, and/or other aspects of pixels that define visual content of the image. For example, the visual information may include information that makes up and/or is used to determine pixels of the image. Other types of visual information are contemplated. 
     Capture of visual content by the image sensor  306  may include conversion of light received by the image sensor  306  into output signals/visual information defining visual content. Capturing visual content may include recording, storing, and/or otherwise capturing the visual content for use in generating video content (e.g., content of video frames). For example, during a capture duration, the visual output signal generated by the image sensor  306  and/or the visual information conveyed by the visual output signal may be used to record, store, and/or otherwise capture the visual content for use in generating video content. 
     In some implementations, the image capture device  302  may include multiple image sensors. For example, the image capture device  302  may include multiple image sensors carried by the housing  312  to capture spherical images/videos based on light guided thereto by multiple optical elements. For instance, the image capture device  302  may include two image sensors configured to receive light from two optical elements positioned on opposing sides of the housing  312 . The fields of views of the optical elements may overlap and enable capture of spherical images and/or spherical videos. 
     The display  322  may refer to an electronic device for visually presenting information. The display  322  may include one or more screens. The display  322  may be used to present visual content (of images, of videos) captured by the image capture device  302 . The display  322  may be used to present previews of visual content captured or to be captured by the image capture device  302 . The display  312  may be used to present other visual information, such as settings for the image capture device  302  and/or messages (e.g., instructions, notices, warnings, alerts, reminders) for the user of the image capture device  302 . In some implementations, the display  322  may include a touchscreen display. A touchscreen display may be configured to receive user input via user engagement with the touchscreen display. A user may engage with the touchscreen display via interaction with one or more touch-sensitive surfaces/screens and/or other components of the touchscreen display. A user may engage with the touchscreen display to provide input (e.g., command) to the image capture device  302 . 
     The button  324  may refer to one or more mechanisms that may be physically interacted upon by a user. The button  324  may be interacted upon by a user to operate the button  324  and provide input (e.g., command) to the image capture device  302 . For example, a user may interact with the button  324  to provide input/command to the image capture device  302  to turn on/power on the image capture device, turn off/power off the image capture device, capture videos, select a target, and/or to otherwise operate the image capture device. User interaction with the button  324  may include one or more of pressing the button  324 , pulling the button  324 , twisting the button  324 , flipping the button  324 , and/or other interaction with the button  324 . The button  324  may include a dedicated button with the interaction of the button  324  causing specific operation/functionality (e.g., power button, record button). The button  324  may include a multi-purpose button with the interaction of the button  324  causing different operations/functionalities (e.g., based on different context in which the image capture device  302  is operating, based on user specifying the use of the button  324 ). 
     The processor  310  may include one or more processors (logic circuitry) that provide information processing capabilities in the image capture device  302 . The processor  310  may provide one or more computing functions for the image capture device  302 . The processor  310  may operate/send command signals to one or more components of the image capture device  302  to operate the image capture device  302 . For example, the processor  310  may facilitate operation of the image capture device  302  in capturing image(s) and/or video(s), facilitate operation of the optical element  304  (e.g., change how light is guided by the optical element  304 ), and/or facilitate operation of the image sensor  306  (e.g., change how the received light is converted into information that defines images/videos and/or how the images/videos are post-processed after capture). 
     The processor  310  may obtain information from the image sensor  306  and/or other sensor(s), and/or facilitate transfer of information from the image sensor  306  and/or other sensor(s) to another device/component. The processor  310  may be remote from the processor  11  or local to the processor  11 . One or more portions of the processor  310  may be part of the processor  11  and/or one or more portions of the processor  10  may be part of the processor  310 . The processor  310  may include and/or perform one or more functionalities of the processor  11  shown in  FIG. 1 . 
     The image capture device  302  may capture visual content through the optical element  304  during a capture duration. The image capture device  302  may detect a target gesture within the visual content. The target gesture may identify a subject to be targeted by the image capture device  302  within the visual content. The target gesture may indicate to the image capture device  302  which object depicted within the visual content/which portion of the visual content should be targeted by the image capture device  302  for future capture of the visual content. For instance, the subject identified by the target gesture may be used by the image capture device  302  as a focus target and/or a stabilization target in future capture of the visual content. Responsive to detection of the target gesture within the visual content, the image capture device  302  may change its targeting to be directed at the subject identified by the target gesture. 
     Change in targeting may include setting or altering the targeting of the image capture device. For instance, the target of the image capture device  302  may not have been previously set, and change in targeting of the image capture device  302  may include using the subject as the target of the image capture device  302 . The target of the image capture device  302  may have been previously set, and change in targeting of the image capture device  302  may include switching the target so that the subject identified by the target gesture is the new target of the image capture device  302 . 
     The image capture device  302  may persistently target the subject identified by the target gesture for future capture of the visual content. The target gesture may initialize the targeting control of the image capture device  302  to be pointed at the subject identified by the target gesture. When the user&#39;s hand is taken out of the field of view of the image capture device  302 , the image capture device  302  may continue to target the subject. The image capture device  302  may continue to automatically target the subject for future capture of the visual content. For instance, after the user&#39;s hand is taken away, the subject identified by the target gesture may continue to be automatically targeted for focusing and/or stabilization by the image capture device  302 . 
     Referring back to  FIG. 1 , the processor  11  (or one or more components of the processor  11 ) may be configured to obtain information to facilitate changing operation of image capture device based on lens cover usage. Obtaining information may include one or more of accessing, acquiring, analyzing, determining, examining, identifying, loading, locating, opening, receiving, retrieving, reviewing, selecting, storing, and/or otherwise obtaining the information. The processor  11  may obtain information from one or more locations. For example, the processor  11  may obtain information from a storage location, such as the electronic storage  13 , electronic storage of information and/or signals generated by one or more sensors, electronic storage of a device accessible via a network, and/or other locations. The processor  11  may obtain information from one or more hardware components (e.g., an image sensor) and/or one or more software components (e.g., software running on a computing device). 
     The processor  11  may be configured to provide information processing capabilities in the system  10 . As such, the processor  11  may comprise one or more of a digital processor, an analog processor, a digital circuit designed to process information, a central processing unit, a graphics processing unit, a microcontroller, an analog circuit designed to process information, a state machine, and/or other mechanisms for electronically processing information. The processor  11  may be configured to execute one or more machine-readable instructions  100  to facilitate changing targeting of an image capture device based on gestures. The machine-readable instructions  100  may include one or more computer program components. The machine-readable instructions  100  may include one or more of a capture component  102 , a target gesture component  104 , a target component  106 , and/or other computer program components. 
     The capture component  102  may be configured to capture the visual content. The visual content may be captured during one or more capture durations. The visual content may be captured through one or more optical elements. For example, referring to  FIG. 3 , the visual content may be captured through the optical element  304 . A capture duration may refer to a time duration in which visual content is captured. Capturing visual content during a capture duration may include recording, storing, and/or otherwise capturing the visual content during the capture duration. The visual content may be captured for use in generating images and/or video frames. The visual content may be captured for use in detecting a target gesture to changing target of the image capture device. 
     For example, during a capture duration, the capture component  102  may use the visual output signal generated by an image sensor (e.g., the image sensor  306 ) and/or the visual information conveyed by the visual output signal to record, store, and/or otherwise capture the visual content. For instance, the capture component  102  may store, in the electronic storage  13  and/or other (permanent and/or temporary) electronic storage medium, information (e.g., the visual information) defining the visual content based on the visual output signal generated by the image sensor and/or the visual information conveyed by the visual output signal during the capture duration. In some implementations, information defining the captured visual content may be stored in one or more visual tracks. In some implementations, the information defining the visual content may be discarded. For instance, the visual information defining the visual content may be temporarily stored for use in detecting a target gesture within the visual content, and the visual information may be deleted after the detection. 
     The target gesture component  104  may be configured to detect a target gesture within the visual content. Detecting a target gesture within the visual content may include one or more of determining, discerning, discovering, finding, identifying, spotting, and/or otherwise detecting the target gesture within the visual content. The target gesture within the visual content may be detected based on analysis of the visual content and/or other information. Analysis of the visual content may include examination, evaluation, processing, studying, and/or other analysis of the visual content. For example, analysis of the visual content may include examination, evaluation, processing, studying, and/or other analysis of one or more visual features/characteristics of the visual content. Analysis of the visual content may include analysis of visual content of a single image/video frame and/or analysis of visual content of multiple images/video frames. For example, visual features and/or visual characteristics of a single image may be analyzed to determine whether a target gesture is depicted within the visual content. Visual features and/or visual characteristics of multiple images (e.g., captured at different moment, captured over a duration of time) may be analyzed to determine whether a target gesture is depicted within the visual content. In some implementations, the target gesture component  104  may utilize computer vision, object/pattern recognition, object/pattern tracking, and/or other visual analysis to detect a target gesture within the visual content. 
     A target gesture may refer to a shape made by one or more fingers, one or more hands, and/or other body parts/tools. A target gesture may refer to a movement of one or more fingers, one or more hands, and/or other body parts/tools. For example, a target gesture may include a particular way in which finger(s)/hand(s)/tool(s) are held and/or moved. A target gesture may be static or dynamic. A target gesture may convey information using the shape/movement. 
     A target gesture may identify a subject to be targeted by the image capture device within the visual content. A target gesture may identify a subject within the visual content that is to be used by the image capture device as a target for future capture of the visual content. A subject may refer to a living and/or a non-living thing depicted within the visual content. For example, a target gesture may identify which thing(s) depicted within the visual content is to be targeted by the image capture device (e.g., stabilization target, focus target). A subject may refer to a portion (an extent) of the visual content. For example, a target gesture may identify which portion/extent of the visual content should be used by the image capture device as the target for image capture device operation (e.g., stabilization, focus). 
     A target gesture may identify a subject to be targeted by the image capture device by pointing at the subject, pointing to the subject, enclosing/surrounding the subject, isolating the subject, and/or otherwise identifying the subject. A target gesture may identify the subject based on the shape made by one or more fingers, one or more hands, and/or other body parts/tools. A target gesture may identify the subject based on the movement of one or more fingers, one or more hands, and/or other body parts/tools. A target gesture may identify the subject based on a direction, an area, and/or other information indicated by the target gesture. In some implementations, object classification, saliency detection, and/or other visual analysis technique may be used to identify the subject based on the target gesture. For example, object classification and/or saliency detection may be used to identify a subject that may be of most interest to the user (e.g., face, person, emotion, action) to target when capturing visual content. 
     In some implementations, the target gesture within the visual content may be detected based on activation of a gesture target mode of the image capture device and/or other information. A gesture target mode of the image capture device may refer to a mode of operation in which target for the image capture device is selected using a target gesture detected within the visual content. A gesture target mode of the image capture device may be activated by default or based on user activation of the mode. For example, a gesture target mode of the image capture device may be activated based on a user&#39;s physical interaction with the image capture device (e.g., physical interaction with the button  324 , the display  322 ), a user&#39;s verbal interaction with the image capture device (e.g., user turning on the gesture target mode via voice activation, such as a user stating, “Gesture Mode On”), and/or other interaction of a user with the image capture device. 
     In some implementations, the target gesture may include one or more pointing fingers. A pointing finger may refer to a finger extend in a direction. A pointing figure may include a finger in an extended position, with the finger pointed in a direction. The subject may be identified based on a direction in which the pointing finger(s) are pointed. The subject may be identified at the tip of the pointing finger(s) and/or along the direction in which the pointing finger(s) are pointed. 
     For example,  FIG. 4A  illustrates an example target gesture  412 . The target gesture  412  may be captured within (depicted within) visual content  410  captured by an image capture device. The target gesture  412  may include a pointing finger (e.g., index finger), which is pointed in a direction  414 . A subject  416  may be identified by the target gesture  412  based on the direction  414  in which the pointing finger is pointed. In some implementations, the direction  414  may be determined based on analysis of the geometry of the pointing finger within one or more images/video frames. In some implementations, the direction  414  may be adjusted based on how the image capture device is being carried during capture of the visual content  410 . For example, the direction  414  may be adjusted based on whether the image capture device is mounted on a person&#39;s head, chin, chest, shoulder, and/or other positions. The adjustment may take in account differences between the point of view of the user and the point of view of the image capture device to determine where the user is pointing with the gesture  414 . Other identification of subjects using pointing finger(s) are contemplated. 
     In some implementations, the target gesture may include bounding fingers. Bounding fingers may refer to finger that bound an area (e.g., portion of the visual content). Bounding fingers may partially or totally bound the area. Bounding fingers may include two or more fingers extended while distanced apart to creating a bounding area. Bounding fingers may include fingers of one hand or two hands. For example, bounding fingers may include two fingers of one hand separated to create a bounding area near the tips of the fingers. Bounding fingers may include two separated fingers of one hand and two separate fingers of other hand crossed to create a bounding area (quadrilateral area) between the fingers. The subject may be identified based on a portion of the visual content bounded by the bounding fingers. The subject may be identified as the bounded portion and/or within the bounded portion. 
     For example,  FIG. 4B  illustrates an example target gesture  422 . The target gesture  422  may be captured within (depicted within) visual content  420  captured by an image capture device. The target gesture  422  may include two fingers extended in parallel and separated by a distance to create a bounding area  424 . The bounding area  424  may cover a portion of the visual content  420 . A subject  426  may be identified by the target gesture  422  based the portion of the visual content  420  bounded by the bounding fingers. The subject  426  may be identified to include the bounded portion and/or based on analysis of the visual content  420  within the bounded portion. 
       FIG. 4C  illustrates an example target gesture  432 . The target gesture  432  may be captured within (depicted within) visual content  430  captured by an image capture device. The target gesture  432  may include fingers in a circled position to create a bounding area within the fingers. The bounding area may cover a portion of the visual content  430 . A subject  436  may be identified by the target gesture  432  based the portion of the visual content  330  bounded by the bounding fingers. The subject  436  may be identified to include the bounded portion and/or based on analysis of the visual content  430  within the bounded portion. Other identification of subjects using bounding fingers are contemplated. 
     In some implementations, the target gesture includes movement of one or more fingers to trace a shape. Movement of a finger may include change in position of the finger over time. Movement of finger(s) may be captured within the visual content over a duration (over multiple images, video frames). The subject may be identified based on a portion of the visual content bounded by the shape. The subject may be identified as the bounded portion and/or within the bounded portion. 
     For example,  FIG. 4D  illustrates an example target gesture  442 . The target gesture  442  may be captured within (depicted within) visual content  440  captured by an image capture device. The target gesture  432  may include movement of a finger (e.g., index finger) to trace a shape  444 . The shape  444  may cover a portion of the visual conte3nt  440 . A subject  446  may be identified by the target gesture  442  based on the portion of the visual content  440  bounded by the shape  444 . The subject  446  may be identified to include the bounded portion and/or based on analysis of the visual content  440  within the bounded portion. Other identification of subjects using movement of finger(s) are contemplated. 
     The target component  106  may be configured to, responsive to detection of the target gesture within the visual content, change targeting of the image capture device for future capture of the visual content. The targeting of the image capture device may be changed to be directed at the subject identified by the target gesture. Changing targeting of the image capture device for future capture of the visual content may include changing subject that is targeted by the image capture device for future capture of the visual content. The target component  106  may change targeting of the image capture device by setting or altering the targeting of the image capture device. For example, the image capture device may not be targeting any subject in capture of visual content, and the target component  106  may cause the image capture device to set a subject as the target. The image capture device may be targeting a subject in capture of visual content, and the target component  106  may cause the image capture device to switch the targeting so that a different subject is targeted by the image capture device. 
     The image capture device may persistently target the subject identified by the target gesture for future capture of the visual content. The target gesture may prompt the image capture device to initialize its targeting control to be pointed at the subject identified by the target gesture. The image capture device may automatically and continually target the subject identified by the target gesture until targeting control is changed (e.g., via another target gesture, via user interaction with the image capture device), until targeting control is canceled/deactivated, and/or until targeting of the subject is no longer possible (e.g., the subject moves out of the field of view of the image capture device for a threshold amount of time; the image capture device is not able to maintain targeting of the subject). Thus, the image capture device may automatically target the subject manually selected via the target gesture. 
     Use of target gesture to identify the subject to be targeted by the image capture device may allow for the targeting of the image capture device to be changed without physical interaction of a user with the image capture device. Physical interaction of the user with the image capture device may refer to the user physically engaging with the image capture device, such as pressing a button or touching a touchscreen display of the image capture device. That is, targeting of the image capture device may be changed without the user physically interacting with the image capture device to change the targeting. Such change in the targeting of the image capture device may be more intuitive, easier, and/or faster than requiring physical interaction with the image capture device. Such change in the targeting of the image capture device may provide user with control over targeting without causing undesired movement of the image capture device (e.g., bump of the image capture device when pressing a button, the image capture device being dislodge from its position when touching a touchscreen display). 
     Use of target gesture to identify the subject to be targeted by the image capture device may allow for the targeting of the image capture device to be changed without having physical access/view of the image capture device. For example, mounting the image capture device on the head, shoulder, or chest of a user may make it difficult/impossible to reach image capture device controls, such as those presented on the display(s) of the image capture device. A user may control targeting of the image capture device through target gesture even when display(s)/button(s) of the image capture device are not readily accessible. 
     Use of target gesture to identify the subject to be targeted by the image capture device may allow for the targeting of the image capture device to be changed through hand gestures made by multiple people. For example, a user of a chest-mounted image capture device may wish to target a particular person. The user may move the image capture device to bring the person within the field of view of the image capture device and/or have the person move into the field of view of the image capture device. The targeting of the image capture device may be initialized to be centered on the person based on target gesture made by the user or the person (or some other party). For instance, when the person is in front of the image capture device, the user may point a finger at the person to direct the image capture device to automatically and continually target the person. When the person is in front of the image capture device, the person may point the finger at himself to direct the image capture device to automatically and continually target the person. 
     In some implementations, the change in the targeting of the image capture device for future capture of the visual content to be directed at the subject identified by the target gesture may include setting the subject identified by the target gesture as a stabilization target for the future capture of the visual content. A stabilization target may refer to a target that is to be stabilized within the visual content. A stabilization target may refer to a target that is used to position stabilization crop/punchout/viewing window to generate stabilized visual content. Which subject is used to stabilize the visual content may be determined based on the target gesture/subject identified by the target gesture. For instance, based on the target gesture identifying an object of interest (e.g., face) within the visual content, the stabilization of the visual content may be changed to follow the object of interest, such as by centering the object of interest within the stabilization crop/punchout/viewing window. Other use of stabilization target are contemplated. 
     In some implementations, the change in the targeting of the image capture device for future capture of the visual content to be directed at the subject identified by the target gesture may include setting the subject identified by the target gesture as a focus target for the future capture of the visual content. A focus target may refer to a target that is used to control focusing of the image capture device. A focus target may refer to a target that is desired to be depicted sharply within the visual content. Which subject is sued to focus the image capture device may be determined based on the target gesture/subject identified by the target gesture. For instance, based on the target gesture identifying a thing depicted within the visual content, the focusing of the image capture device may be changed to increase (e.g., maximize) sharpness of the thing within the visual content. Other use of focus target are contemplated. 
     In some implementations, the image capture device may further comprise a display. A preview of the change in the targeting of the image capture device for future capture of the visual content to be directed at the subject identified by the target gesture may be presented on the display prior to the change in the targeting of the image capture device. That is, before the subject identified by the target gesture is targeted by the image capture device, the image capture device may provide information on the display regarding the targeting to be changed based on the target gesture. For example, the display may provide a message stating that the target of the image capture device will be changed. The display may provide a message stating that the target of the image capture device will be changed to the subject identified by the target gesture. The display may provide a preview of the visual content, and use one of more visual elements to indicate/emphasize the subject identified by the target gesture (e.g., placing brackets around the subject, coloring the subject differently from rest of the visual content). For instance, a region of interest identified based on the target gesture may be highlighted within the preview of the visual content. 
     In some implementations, cancellation of the change in the targeting of the image capture device for future capture of the visual content to be directed at the subject identified by the target gesture may be receivable via user interaction with the image capture device. That is, the change in targeting of the image capture device prompted by the target gesture may be canceled before the change takes place. User interaction with the image capture device to cancel the change in targeting of the image capture device may include physical interaction with the image capture device (e.g., pressing a button, the touching a touchscreen display) and/or a non-physical interaction with the image capture device (e.g., voice command, making a gesture in front of the image capture device that is interpreted as command to cancel the target change). 
     In some implementation, the targeting of the image capture device may be canceled/deactivated based on changes in the scene captured by the image capture devices and/or other information. Changes in the scene captured by the image capture device may be determined based on analysis of the visual content captured by the image capture device, movement of the image capture device, and/or other information. Changes in the scene captured by the image capture device may result in the subject identified by the target gesture no longer being captured by the image capture device (being outside the field of view of the image capture device). 
     In some implementations, the targeting of the image capture device may be canceled/deactivated based on user input and/or other information. User input may direct the image capture device to stop targeting of the subject identified by the target gesture. User input may be received via user interaction with the image capture device. User input may be received via voice command. User input may be received via a gesture captured within the visual content. 
     Implementations of the disclosure may be made in hardware, firmware, software, or any suitable combination thereof. Aspects of the disclosure may be implemented as instructions stored on a machine-readable medium, which may be read and executed by one or more processors. A machine-readable medium may include any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computing device). For example, a tangible (non-transitory) machine-readable storage medium may include read-only memory, random access memory, magnetic disk storage media, optical storage media, flash memory devices, and others, and a machine-readable transmission media may include forms of propagated signals, such as carrier waves, infrared signals, digital signals, and others. Firmware, software, routines, or instructions may be described herein in terms of specific exemplary aspects and implementations of the disclosure, and performing certain actions. 
     In some implementations, some or all of the functionalities attributed herein to the system  10  may be provided by external resources not included in the system  10 . External resources may include hosts/sources of information, computing, and/or processing and/or other providers of information, computing, and/or processing outside of the system  10 . 
     Although the processor  11  and the electronic storage  13  are shown to be connected to the interface  12  in  FIG. 1 , any communication medium may be used to facilitate interaction between any components of the system  10 . One or more components of the system  10  may communicate with each other through hard-wired communication, wireless communication, or both. For example, one or more components of the system  10  may communicate with each other through a network. For example, the processor  11  may wirelessly communicate with the electronic storage  13 . By way of non-limiting example, wireless communication may include one or more of radio communication, Bluetooth communication, Wi-Fi communication, cellular communication, infrared communication, Li-Fi communication, or other wireless communication. Other types of communications are contemplated by the present disclosure. 
     Although the processor  11  is shown in  FIG. 1  as a single entity, this is for illustrative purposes only. In some implementations, the processor  11  may comprise a plurality of processing units. These processing units may be physically located within the same device, or the processor  11  may represent processing functionality of a plurality of devices operating in coordination. The processor  11  may be configured to execute one or more components by software; hardware; firmware; some combination of software, hardware, and/or firmware; and/or other mechanisms for configuring processing capabilities on the processor  11 . 
     It should be appreciated that although computer components are illustrated in  FIG. 1  as being co-located within a single processing unit, in implementations in which processor  11  comprises multiple processing units, one or more of computer program components may be located remotely from the other computer program components. While computer program components are described as performing or being configured to perform operations, computer program components may comprise instructions which may program processor  11  and/or system  10  to perform the operation. 
     While computer program components are described herein as being implemented via processor  11  through machine-readable instructions  100 , this is merely for ease of reference and is not meant to be limiting. In some implementations, one or more functions of computer program components described herein may be implemented via hardware (e.g., dedicated chip, field-programmable gate array) rather than software. One or more functions of computer program components described herein may be software-implemented, hardware-implemented, or software and hardware-implemented 
     The description of the functionality provided by the different computer program components described herein is for illustrative purposes, and is not intended to be limiting, as any of computer program components may provide more or less functionality than is described. For example, one or more of computer program components may be eliminated, and some or all of its functionality may be provided by other computer program components. As another example, processor  11  may be configured to execute one or more additional computer program components that may perform some or all of the functionality attributed to one or more of computer program components described herein. 
     The electronic storage media of the electronic storage  13  may be provided integrally (i.e., substantially non-removable) with one or more components of the system  10  and/or as removable storage that is connectable to one or more components of the system  10  via, for example, a port (e.g., a USB port, a Firewire port, etc.) or a drive (e.g., a disk drive, etc.). The electronic storage  13  may include one or more of optically readable storage media (e.g., optical disks, etc.), magnetically readable storage media (e.g., magnetic tape, magnetic hard drive, floppy drive, etc.), electrical charge-based storage media (e.g., EPROM, EEPROM, RAM, etc.), solid-state storage media (e.g., flash drive, etc.), and/or other electronically readable storage media. The electronic storage  13  may be a separate component within the system  10 , or the electronic storage  13  may be provided integrally with one or more other components of the system  10  (e.g., the processor  11 ). Although the electronic storage  13  is shown in  FIG. 1  as a single entity, this is for illustrative purposes only. In some implementations, the electronic storage  13  may comprise a plurality of storage units. These storage units may be physically located within the same device, or the electronic storage  13  may represent storage functionality of a plurality of devices operating in coordination. 
       FIG. 2  illustrates method  200  for changing targeting of an image capture device based on gestures. The operations of method  200  presented below are intended to be illustrative. In some implementations, method  200  may be accomplished with one or more additional operations not described, and/or without one or more of the operations discussed. In some implementations, two or more of the operations may occur substantially simultaneously. 
     In some implementations, method  200  may be implemented in one or more processing devices (e.g., a digital processor, an analog processor, a digital circuit designed to process information, a central processing unit, a graphics processing unit, a microcontroller, an analog circuit designed to process information, a state machine, and/or other mechanisms for electronically processing information). The one or more processing devices may include one or more devices executing some or all of the operation of method  200  in response to instructions stored electronically on one or more electronic storage media. The one or more processing devices may include one or more devices configured through hardware, firmware, and/or software to be specifically designed for execution of one or more of the operations of method  200 . 
     Referring to  FIG. 2  and method  200 , at operation  201 , visual content may be captured during a capture duration. In some implementation, operation  201  may be performed by a processor component the same as or similar to the capture component  102  (Shown in  FIG. 1  and described herein). 
     At operation  202 , a target gesture may be detected within the visual content. The target gesture may identify a subject to be targeted by the image capture device within the visual content. In some implementation, operation  202  may be performed by a processor component the same as or similar to the target gesture component  104  (Shown in  FIG. 1  and described herein). 
     At operation  203 , responsive to detection of the target gesture within the visual content, targeting of the image capture device for future capture of the visual content may be changed to be directed at the subject identified by the target gesture. In some implementation, operation  203  may be performed by a processor component the same as or similar to the target component  106  (Shown in  FIG. 1  and described herein). 
     Although the system(s) and/or method(s) of this disclosure have been described in detail for the purpose of illustration based on what is currently considered to be the most practical and preferred implementations, it is to be understood that such detail is solely for that purpose and that the disclosure is not limited to the disclosed implementations, but, on the contrary, is intended to cover modifications and equivalent arrangements that are within the spirit and scope of the appended claims. For example, it is to be understood that the present disclosure contemplates that, to the extent possible, one or more features of any implementation can be combined with one or more features of any other implementation.