AI RESEARCH
In Pursuit of Many: A Review of Modern Multiple Object Tracking Systems
arXiv CS.CV
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ArXi:2209.04796v2 Announce Type: replace Multiple Object Tracking (MOT) is a core capability in modern computer vision, essential to autonomous driving, surveillance, sports analytics, robotics, and biomedical imaging. Persistent identity assignment across frames remains challenging in real scenes because of occlusion, dense crowds, appearance ambiguity, scale variation, camera motion, and identity switching. In this survey we synthesize recent progress by organizing methods around the problems they target and the paradigms they adopt.