2024
DeconfuseTrack: Dealing with Confusion for Multi-Object Tracking
CVPR 2024poster
Accurate data association is crucial in reducing confusion such as ID switches and assignment errors in multi-object tracking (MOT). However existing advanced methods often overlook the diversity among trajectories and the ambiguity and conflicts present in motion and appearance cues leading to conf…