RETAIL TRAFFIC ANALYSIS STATISTICS TO ACTIONABLE INTELLIGENCE
    2.
    发明申请
    RETAIL TRAFFIC ANALYSIS STATISTICS TO ACTIONABLE INTELLIGENCE 审中-公开
    零售交通运输分析统计数据

    公开(公告)号:US20150310372A1

    公开(公告)日:2015-10-29

    申请号:US14677423

    申请日:2015-04-02

    CPC classification number: G06Q10/06393

    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 translation: 目前,用于评估流量的系统,如零售流量,仅输出计数结果就可以进行数字测量。 当前的系统不会使用流量分析方法或应用程序评估问题和/或提供解决问题的方法。 本公开涉及用于应用零售流量分析统计以提供可操作的智能的方法,系统和媒体,例如特定查询或问题的解决方案。

    Trajectory matching across disjointed video views

    公开(公告)号:US10095954B1

    公开(公告)日:2018-10-09

    申请号:US13743635

    申请日:2013-01-17

    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.

    Trajectory matching across disjointed video views
    4.
    发明授权
    Trajectory matching across disjointed video views 有权
    不相交视频观看的轨迹匹配

    公开(公告)号:US09160982B1

    公开(公告)日:2015-10-13

    申请号:US13743580

    申请日:2013-01-17

    Abstract: Embodiments disclosed herein provide systems and methods for matching trajectories across disjointed video views. In a particular embodiment, a method provides identifying a first trajectory associated with an object in video captured of a first region. The method further provides identifying a plurality of alternative views of the object from the video of the first region. The method further provides generating additional views for inclusion in the plurality of alternative views by copying and horizontally flipping at least one view of the plurality of alternative views. The method further provides using the plurality of alternative views of the object, selecting a second trajectory that corresponds to the first trajectory from a plurality of trajectories associated with a plurality of objects in video captured of a second region.

    Abstract translation: 本文公开的实施例提供了用于在不相交的视频视图上匹配轨迹的系统和方法。 在特定实施例中,一种方法提供识别与第一区域捕获的视频中的对象相关联的第一轨迹。 该方法还提供从第一区域的视频识别对象的多个替代视图。 该方法进一步提供通过复制和水平翻转多个替代视图的至少一个视图来生成用于包含在多个备选视图中的附加视图。 该方法还提供使用对象的多个替代视图,从与第二区域的视频捕获的多个对象相关联的多个轨迹中选择对应于第一轨迹的第二轨迹。

    TIME-IN-STORE ESTIMATION USING FACIAL RECOGNITION
    5.
    发明申请
    TIME-IN-STORE ESTIMATION USING FACIAL RECOGNITION 有权
    使用面部识别的时间存储估计

    公开(公告)号:US20140161316A1

    公开(公告)日:2014-06-12

    申请号:US14104099

    申请日:2013-12-12

    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. A second camera is also employed to automatically create an exit image of a face of an exiting individual that passes a second location, and the exit image is recorded along with the corresponding exit time that the exiting individual passed the exit location. The exit image is then 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 translation: 监视由个人在指定区域中花费的时间量的方法包括采用第一相机自动创建一个或多个入口图像,每个入口图像包含通过第一位置的进入个体的面部,并存储每个入口 数据库中的图像以及进入的个人通过入口位置的相应入口时间。 还使用第二相机来自动创建通过第二位置的退出个体的面部的退出图像,并且退出图像与退出的个体通过出口位置的对应退出时间一起被记录。 然后将出口图像与数据库中的入口图像进行比较,以识别包含与出口图像相同的面部的匹配入口图像。 然后通过确定与匹配入口图像相对应的入口时间与出口时间之间的差异来确定退出个体的逗留时间。

    Time-in-store estimation using facial recognition
    8.
    发明授权
    Time-in-store estimation using facial recognition 有权
    使用面部识别的店内估计

    公开(公告)号:US09245276B2

    公开(公告)日:2016-01-26

    申请号:US14104099

    申请日:2013-12-12

    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. A second camera is also employed to automatically create an exit image of a face of an exiting individual that passes a second location, and the exit image is recorded along with the corresponding exit time that the exiting individual passed the exit location. The exit image is then 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 translation: 监视由个人在指定区域中花费的时间量的方法包括采用第一相机自动创建一个或多个入口图像,每个入口图像包含通过第一位置的进入个体的面部,并存储每个入口 数据库中的图像以及进入的个人通过入口位置的相应入口时间。 还使用第二相机来自动创建通过第二位置的退出个体的面部的退出图像,并且退出图像与退出的个体通过出口位置的对应退出时间一起被记录。 然后将出口图像与数据库中的入口图像进行比较,以识别包含与出口图像相同的面部的匹配入口图像。 然后通过确定与匹配入口图像相对应的入口时间与出口时间之间的差异来确定退出个体的逗留时间。

    Time-in-store estimation using facial recognition

    公开(公告)号:US10445563B2

    公开(公告)日:2019-10-15

    申请号:US15718688

    申请日:2017-09-28

    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.

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