Location tracking system using a plurality of cameras

    公开(公告)号:US11741705B1

    公开(公告)日:2023-08-29

    申请号:US17813347

    申请日:2022-07-19

    Applicant: TP Lab, Inc.

    CPC classification number: G06V20/20 G06F16/787 H04W4/029 G06V2201/07

    Abstract: A tracking system obtains first recognized object and its first information, detected in image(s) captured by camera(s). The first information includes the first recognized object's first features, first feature locations, first real-world dimensions, and a first time. A list of tracking objects is obtained, each including a second recognized object and its second information. The second information includes the second recognized object's second features, second feature locations, and second real-world dimensions. The system compares the first features with the second features stored in a given tracking object, the first feature locations with the second feature locations, and the first real-world dimensions with the second real-world dimensions. When they match, the first information comprising the first time is stored in the given tracking object.

    Location tracking system using a plurality of cameras

    公开(公告)号:US12008808B1

    公开(公告)日:2024-06-11

    申请号:US18352330

    申请日:2023-07-14

    Applicant: TP Lab, Inc.

    CPC classification number: G06V20/20 G06F16/787 H04W4/029 G06V2201/07

    Abstract: A tracking system obtains first recognized object and associated first information being detected in at least one image captured by camera(s). First information includes first recognized object's first feature(s), first additional feature(s) derived from the first feature(s), first location(s) of first feature(s), and first real-world dimensions. A list of tracking objects is obtained, each including second recognized object and associated second information. Second information including second recognized object's second feature(s), second additional feature(s) derived from second feature(s), second location(s) of second feature(s), and second real-world dimensions. The system compares first additional feature(s) with second additional feature(s) stored in given tracking object, first location(s) with second location(s) stored in given tracking object, and first real-world dimensions with second real-world dimensions stored in given tracking object. When they match, the first information comprising first additional feature(s) are stored in given tracking object.

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