A systematic comparison of four cost-fusion methods for data association in online multi-object tracking shows that fusion choice materially affects MOTA, IDF1, and HOTA on MOT17, MOT20, and DanceTrack validation sets.
Occlusion-robust online multi-object vis ual tracking using a GM-PHD filter with CNN-based re- identification,
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FusionSORT: Fusion Methods for Online Multi-object Visual Tracking
A systematic comparison of four cost-fusion methods for data association in online multi-object tracking shows that fusion choice materially affects MOTA, IDF1, and HOTA on MOT17, MOT20, and DanceTrack validation sets.