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DanceTrack

Many Multi-Object Tracking (MOT) approaches exploit motion information to associate all the detected objects across frames. However, many methods that rely on filtering-based algorithms, such as the Kalman Filter, often work well in linear motion scenarios but struggle to accurately predict the locations of objects undergoing complex and non-linear movements.

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Cite this as

Yunhao Du, Zhicheng Zhao, Fei Su (2024). Dataset: DanceTrack. https://doi.org/10.57702/y94qddjd

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2403.08018
Citation	https://doi.org/10.48550/arXiv.2402.15895 https://doi.org/10.48550/arXiv.2405.15755 https://doi.org/10.48550/arXiv.2406.13271
Author	Yunhao Du
More Authors	Zhicheng Zhao Fei Su
Homepage	https://github.com/dyhBUPT/HIT