A depth-aware MOT tracker using mask-guided 3D point clouds, voxelized 3D IoU association, adaptive Kalman noise, and 3D motion consistency surpasses prior TBD methods on MOT17, MOT20, and DanceTrack.
Hard to track objects with irregular motions and similar appearances? make it easier by buffering the matching space,
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GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking
A depth-aware MOT tracker using mask-guided 3D point clouds, voxelized 3D IoU association, adaptive Kalman noise, and 3D motion consistency surpasses prior TBD methods on MOT17, MOT20, and DanceTrack.