CPC G06T 7/248 (2017.01) [G06F 18/213 (2023.01); G06V 10/22 (2022.01); G06T 2207/20084 (2013.01)] | 25 Claims |
1. A processor-implemented method with object tracking, comprising:
determining an initial template image based on an input bounding box and an input image;
generating an initial feature map by extracting features from the initial template image;
generating a transformed feature map by performing feature transformation adapted to objectness on the initial feature map;
generating an objectness probability map and a bounding box map indicating bounding box information corresponding to each coordinate of the objectness probability map by performing objectness-based bounding box regression analysis on the transformed feature map; and
determining a refined bounding box based on the objectness probability map and the bounding box map.
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