Abstract: A method of obtaining media content of an event, comprising: identifying a real-life event and, a time of said real-life event a geographic location of the real-life event; identifying a subset of a plurality of client terminals of users located in proximity to the geographic location of the real-life event at said time of said real-life event; sending a message to the subset of client terminals containing a request to acquire media content documenting the real-life event; and receiving at least one media content item documenting the real-life event from at least one client terminal of the subset of client terminals, the at least one media content item acquired by at least one user of the users using the at least one client terminal in response to the message.

Abstract: A method of obtaining media content of an event, comprising: identifying a real-life event and, a time of said real-life event a geographic location of the real-life event; identifying a subset of a plurality of client terminals of users located in proximity to the geographic location of the real-life event at said time of said real-life event; sending a message to the subset of client terminals containing a request to acquire media content documenting the real-life event; and receiving at least one media content item documenting the real-life event from at least one client terminal of the subset of client terminals, the at least one media content item acquired by at least one user of the users using the at least one client terminal in response to the message.

Abstract: A virtual image generation method includes: determining, in response to a login event of a target user, a user identifier of the target user, and displaying a virtual image generation interface to the target user; acquiring at least one user attribute feature of the target user according to the user identifier, and acquiring event attribute information for a target event determined by the target user on the virtual image generation interface; and generating a virtual image of the target user according to the at least one user attribute feature of the target user and the event attribute information. The virtual image of the target user has the at least one user attribute feature of the target user.

Abstract: A method of obtaining media content of an event, comprising: identifying a real-life event and, a time of said real-life event a geographic location of the real-life event; identifying a subset of a plurality of client terminals of users located in proximity to the geographic location of the real-life event at said time of said real-life event; sending a message to the subset of client terminals containing a request to acquire media content documenting the real-life event; and receiving at least one media content item documenting the real-life event from at least one client terminal of the subset of client terminals, the at least one media content item acquired by at least one user of the users using the at least one client terminal in response to the message.

Abstract: A method of obtaining media content of an event, comprising: identifying a real-life event and, a time of said real-life event a geographic location of the real-life event; identifying a subset of a plurality of client terminals of users located in proximity to the geographic location of the real-life event at said time of said real-life event; sending a message to the subset of client terminals containing a request to acquire media content documenting the real-life event; and receiving at least one media content item documenting the real-life event from at least one client terminal of the subset of client terminals, the at least one media content item acquired by at least one user of the users using the at least one client terminal in response to the message.

Abstract: Currently, systems for assessing traffic, such as retail traffic, only output counting results in numeric measures. Current systems do not assess problems and/or provide solutions to problems using traffic analysis methods or applications. The present disclosure is directed to methods, systems and media for applying retail traffic analysis statistics to provide actionable intelligence, such as solutions to particular inquiries or problems.

Abstract: A method of obtaining media content of an event, comprising: identifying a real-life event and, a time of said real-life event a geographic location of the real-life event; identifying a subset of a plurality of client terminals of users located in proximity to the geographic location of the real-life event at said time of said real-life event; sending a message to the subset of client terminals containing a request to acquire media content documenting the real-life event; and receiving at least one media content item documenting the real-life event from at least one client terminal of the subset of client terminals, the at least one media content item acquired by at least one user of the users using the at least one client terminal in response to the message.

Abstract: A method of obtaining media content of an event, comprising: identifying a real-life event and, a time of said real-life event a geographic location of the real-life event; identifying a subset of a plurality of client terminals of users located in proximity to the geographic location of the real-life event at said time of said real-life event; sending a message to the subset of client terminals containing a request to acquire media content documenting the real-life event; and receiving at least one media content item documenting the real-life event from at least one client terminal of the subset of client terminals, the at least one media content item acquired by at least one user of the users using the at least one client terminal in response to the message.

Abstract: A method of obtaining media content of an event, comprising: identifying a real-life event and, a time of said real-life event a geographic location of the real-life event; identifying a subset of a plurality of client terminals of users located in proximity to the geographic location of the real-life event at said time of said real-life event; sending a message to the subset of client terminals containing a request to acquire media content documenting the real-life event; and receiving at least one media content item documenting the real-life event from at least one client terminal of the subset of client terminals, the at least one media content item acquired by at least one user of the users using the at least one client terminal in response to the message.

Abstract: A method of monitoring the amount of time spent in a specified area by an individual comprises employing a first camera to automatically create one or more entrance images, each entrance image containing a face of an entering individual that passes a first location, and storing each entrance image in a database along with a corresponding entrance time that the entering individual passed the entrance location. An exit image is compared to the entrance images in the database to identify a matching entrance image containing the same face as the exit image. A stay time is then determined for the exiting individual by determining the difference between the entrance time corresponding to the matching entrance image and the exit time.

Abstract: Models are generated from objects identified in video. Each model is evaluated based on knowledge of the objects determined from video analysis, and preferred models are identified based on the evaluations. In some examples, each model could be evaluated by tracking a movement of each object in the video by using each model to track the object from which it was generated, evaluating an ability of each model to identify the objects in the video that are similar to the object from which it was generated, and determining an amount of false identifications made by each model of different objects in different video that does not include the object from which it was generated.

Abstract: A method of obtaining media content of an event, comprising: identifying a real-life event and, a time of said real-life event a geographic location of the real-life event; identifying a subset of a plurality of client terminals of users located in proximity to the geographic location of the real-life event at said time of said real-life event; sending a message to the subset of client terminals containing a request to acquire media content documenting the real-life event; and receiving at least one media content item documenting the real-life event from at least one client terminal of the subset of client terminals, the at least one media content item acquired by at least one user of the users using the at least one client terminal in response to the message.

Abstract: A method of obtaining media content of an event, comprising: identifying a real-life event and, a time of said real-life event a geographic location of the real-life event; identifying a subset of a plurality of client terminals of users located in proximity to the geographic location of the real-life event at said time of said real-life event; sending a message to the subset of client terminals containing a request to acquire media content documenting the real-life event; and receiving at least one media content item documenting the real-life event from at least one client terminal of the subset of client terminals, the at least one media content item acquired by at least one user of the users using the at least one client terminal in response to the message.

Abstract: Models are generated from objects identified in video. Each model is evaluated based on knowledge of the objects determined from video analysis, and preferred models are identified based on the evaluations. In some examples, each model could be evaluated by tracking a movement of each object in the video by using each model to track the object from which it was generated, evaluating an ability of each model to identify the objects in the video that are similar to the object from which it was generated, and determining an amount of false identifications made by each model of different objects in different video that does not include the object from which it was generated.

Abstract: Embodiments disclosed herein provide systems and methods for matching trajectories across disjointed video views. In a particular embodiment, a method provides receiving a plurality of tagged trajectories that are tagged with an indicator of which trajectory pairs of the plurality of tagged trajectories are matching trajectory pairs and processing each of the trajectory pairs using each of a plurality of trajectory matching algorithms. The method further provides creating a model for matching trajectories based on the output of each of the plurality of trajectory matching algorithms for each of the pairs. The method further provides receiving a pair of trajectories and processing the pair of trajectories using each of the plurality of the trajectory matching algorithms. The method further provides processing the output of each of the plurality of the trajectory matching algorithms for the pair of trajectories using the model to determine whether the pair of trajectories is matching.

Abstract: Models are generated from objects identified in video. Each model is evaluated based on knowledge of the objects determined from video analysis, and preferred models are identified based on the evaluations. In some examples, each model could be evaluated by tracking a movement of each object in the video by using each model to track the object from which it was generated, evaluating an ability of each model to identify the objects in the video that are similar to the object from which it was generated, and determining an amount of false identifications made by each model of different objects in different video that does not include the object from which it was generated.

Abstract: Models are generated from objects identified in video. Each model is evaluated based on knowledge of the objects determined from video analysis, and preferred models are identified based on the evaluations. In some examples, each model could be evaluated by tracking a movement of each object in the video by using each model to track the object from which it was generated, evaluating an ability of each model to identify the objects in the video that are similar to the object from which it was generated, and determining an amount of false identifications made by each model of different objects in different video that does not include the object from which it was generated.

Abstract: A method of monitoring the amount of time spent in a specified area by an individual comprises employing a first camera to automatically create one or more entrance images, each entrance image containing a face of an entering individual that passes a first location, and storing each entrance image in a database along with a corresponding entrance time that the entering individual passed the entrance location. An exit image is compared to the entrance images in the database to identify a matching entrance image containing the same face as the exit image. A stay time is then determined for the exiting individual by determining the difference between the entrance time corresponding to the matching entrance image and the exit time.

Abstract: A method of obtaining media content of an event, comprising: identifying a real-life event and, a time of said real-life event a geographic location of the real-life event; identifying a subset of a plurality of client terminals of users located in proximity to the geographic location of the real-life event at said time of said real-life event; sending a message to the subset of client terminals containing a request to acquire media content documenting the real-life event; and receiving at least one media content item documenting the real-life event from at least one client terminal of the subset of client terminals, the at least one media content item acquired by at least one user of the users using the at least one client terminal in response to the message.

Abstract: A method of obtaining media content of an event, comprising: identifying a real-life event and, a time of said real-life event a geographic location of the real-life event; identifying a subset of a plurality of client terminals of users located in proximity to the geographic location of the real-life event at said time of said real-life event; sending a message to the subset of client terminals containing a request to acquire media content documenting the real-life event; and receiving at least one media content item documenting the real-life event from at least one client terminal of the subset of client terminals, the at least one media content item acquired by at least one user of the users using the at least one client terminal in response to the message.