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.
Diffmot: A real-time diffusion-based multiple object tracker with non-linear prediction,
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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.