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Multi-object tracking in sports scenes plays a critical role in gathering players statistics, supporting further analysis, such as automatic tactical analysis.
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Attention is all you need
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Simple online and realtime tracking with a deep association metric
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Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, and Bernard Ghanem · 2018
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Transcenter: Transformers with dense queries for multiple-object tracking
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Bot-sort: Robust associations multi-pedestrian tracking
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Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking
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Observation-centric sort: Rethinking sort for robust multi-object tracking
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Trackformer: Multi-object tracking with transformers
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, and Christoph Feichtenhofer · 2022
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Dancetrack: Multi-object tracking in uniform appearance and diverse motion
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Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, and Yichen Wei · 2022
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Bytetrack: Multi-object tracking by associating every detection box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, and Xinggang Wang · 2022
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Global tracking transformers
Xingyi Zhou, Tianwei Yin, Vladlen Koltun, and Philipp Krähenbühl · 2022
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