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DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking

AAAI 2020 · Detection and segmentation › Tracking · approach: Memory and correlation-based MOT · 35 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add single object tracking branch to data association (ablation)DASOT · MOT16 validationMOTA (%): 29.6% -> 35.7%Helped
add data association to SOT-only tracker (ablation)DASOT · MOT16 validationMOTA (%): 24.4% -> 35.7%Helped
joint training with feature sharing and interaction instead of separately trained DA and SOT (ablation)DA+SOT · MOT16 validationMOTA (%): 31.5% -> 35.7%Helped
joint training with feature sharing instead of separately trained DA and SOT (ablation)DA+SOT · MOT16 validationFPS: 6.7 -> 9.4Helped
add SOT branch to data association only (ablation)DA · MOT16 validationFPS: 11.8 -> 9.4Hurt
two-stage SOT (correlation plus refinement) instead of D&T or Kalman filter tracking (ablation)SOT branch · MOT16 validationMOTAHelped
increase number of tracked targets per frameDASOT · MOT16 testFPS: 9.0 -> 7.6No clear effect
DASOT vs state-of-the-art online trackersonline MOT · MOT16 testFPS: 1.0 -> 9.0Helped
DASOT vs best prior online MOTAonline MOT · MOT16 testMOTA (%): 47.2% -> 46.1%No clear effect

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