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GenTrack3 proposes hybrid stochastic-deterministic online multi-object tracking framework

GenTrack3 proposes an online multi-object tracking (MOT) framework that integrates deterministic and stochastic principles, using stochastic particle sets to compute target-to-detection matching costs in order to maintain robust tracking under uncertainty. The paper also introduces a new track-to-detection matching method that improves scalability as the number of targets grows and supports group tracking; tracking inference uses tracklets containing identifiers, states, velocities, track penalties, and track ages. The authors state that a reference implementation and baseline trackers have been released on GitHub.

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