WDTtrack: tracking multiple objects with indistinguishable appearance and irregular motion
Author:
Funder
National Key Research and Development Program of China
Fundamental Research Fund for the Central Uni-versities of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05682-w.pdf
Reference46 articles.
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2. Gloudemans D, Work DB (2021) Fast vehicle turning-movement counting using localization-based tracking. In: 2021 IEEE/CVF Conference on computer vision and pattern recognition workshops (CVPRW), pp 4150–4159. https://doi.org/10.1109/cvprw53098.2021.00469
3. Cioppa A, Giancola S, Deliege A et al (2022) Soccernet-tracking: multiple object tracking dataset and benchmark in soccer videos. In: 2022 IEEE/CVF Conference on computer vision and pattern recognition workshops (CVPRW), pp 3490–3501. https://doi.org/10.1109/cvprw56347.2022.00393
4. Sun P, Cao J, Jiang Y et al (2022) Dancetrack: multi-object tracking in uniform appearance and diverse motion. In: 2022 IEEE/CVF Conference on computer vision and pattern recognition (CVPR), pp 20961–20970. https://doi.org/10.1109/cvpr52688.2022.02032
5. Li X, Zhao Z, Wu J et al (2022) Y-bgd: broiler counting based on multi-object tracking. Comput Electron Agric 202:107347. https://doi.org/10.1016/j.compag.2022.107347
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