History-Aware Transformation of ReID Features for Multiple Object Tracking

Understand

In Multiple Object Tracking (MOT), Re-identification (ReID) features are widely employed as a powerful cue for object association.

• However, they are often wielded as a one-size-fits-all hammer, applied uniformly across all videos through simple similarity metrics.
• We argue that this overlooks a fundamental truth: MOT is not a general retrieval problem, but a context-specific task of discriminating targets within a single video.
• To this end, we advocate for the adjustment of visual features based on the context specific to each video sequence for better adaptation.