AI RESEARCH
Occlusion-Aware SORT: Observing Occlusion for Robust Multi-Object Tracking
arXiv CS.CV
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ArXi:2603.06034v1 Announce Type: new Multi-object tracking (MOT) involves analyzing object trajectories and counting the number of objects in video sequences. However, 2D MOT faces challenges due to positional cost confusion arising from partial occlusion. To address this issue, we present the novel Occlusion-Aware SORT (OA-SORT) framework, a plug-and-play and