Funder
Chongqing Municipal Education Commission
Natural Science Foundation Project of Chongqing
Shandong University of Science and Technology
Natural Science Foundation of Chongqing Municipality
Reference54 articles.
1. L. Zhang, Y. Li, R. Nevatia, Global data association for multi-object tracking using network flows, in: IEEE Conference on Computer Vision and Pattern Recognition, 2008, pp. 1–8.
2. L. Leal-Taixé, C. Canton-Ferrer, K. Schindler, Learning by tracking: Siamese CNN for robust target association, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016, pp. 33–40.
3. Distractor-aware discrimination learning for online multiple object tracking;Zhou;Pattern Recognit.,2020
4. Dynamic feature fusion with spatial-temporal context for robust object tracking;Nai;Pattern Recognit.,2022
5. BoT-SORT: Robust associations multi-pedestrian tracking;Aharon,2022
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