METHOD AND APPARATUS WITH OBJECT TRACKING
    2.
    发明公开

    公开(公告)号:US20230351610A1

    公开(公告)日:2023-11-02

    申请号:US17987231

    申请日:2022-11-15

    CPC classification number: G06T7/20 G06T7/97 G06T2207/10016

    Abstract: A processor-implemented method with object tracking includes: performing, using a first template, forward object tracking on first image frames in a first sequence group; determining a template candidate of a second template for second image frames in a second sequence group; performing backward object tracking on the first image frames using the template candidate; determining a confidence of the template candidate using a result of comparing a first tracking result determined by the forward object tracking performed on the first image frames and a second tracking result determined by the backward object tracking performed on the first image frames; determining the second template based on the confidence of the template candidate; and performing forward object tracking on the second image frames using the second template.

    OBJECT TRAKING METHOD AND APPARATUS

    公开(公告)号:US20220122273A1

    公开(公告)日:2022-04-21

    申请号:US17227719

    申请日:2021-04-12

    Abstract: An object tracking method includes generating a feature map of a search image and generating a feature map of a target image, obtaining an object classification result and a basic bounding box based on the feature map of the search image and the feature map of the target image, obtaining an auxiliary bounding box based on the feature map of the search image, obtaining a final bounding box based on the basic bounding box and the auxiliary bounding box, and tracking an object based on the object classification result and the final bounding box.

    METHOD AND APPARATUS FOR TRACKING TARGET

    公开(公告)号:US20230115606A1

    公开(公告)日:2023-04-13

    申请号:US18073737

    申请日:2022-12-02

    Abstract: A target tracking method and apparatus is provided. The target tracking apparatus includes a memory configured to store a neural network, and a processor configured to extract feature information of each of a target included in a target region in a first input image, a background included in the target region, and a searching region in a second input image, using the neural network, obtain similarity information of the target and the searching region and similarity information of the background and the searching region based on the extracted feature information, obtain a score matrix including activated feature values based on the obtained similarity information, and estimate a position of the target in the searching region from the score matrix.

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