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Improving Multiple Pedestrian Tracking by Track Management and Occlusion Handling

CVPR 2021 · Detection and segmentation › Tracking · approach: Memory and correlation-based MOT · 133 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add occlusion-aware association of detections to occluded tracks (ablation)TMOH · MOT17 trainIDF1: +1.1 pointsHelped
Replace occlusion handling with appearance-based re-identification (ablation)TMOH · MOT17 trainIDF1: 1.3 points lowerHurt
Add regression of inactive tracks (ablation)TMOH · MOT17 trainMOTA: +1.5 pointsHelped
Add regression of inactive tracks (ablation)TMOH · MOT17 trainIDF1: +0.8 pointsHelped
Delete tracks moving toward the image boundary when they leave the scene (ablation)TMOH · MOT17 trainMOTAHelped
Add the motion model and camera motion compensation (ablation)TMOH · MOT17 trainIDF1: 72.4 -> 76.6Helped
Increase occlusion distance tolerance α above 1.2 (ablation)TMOH occlusion handling · MOT17 trainIDF1: 0.2 points lower when α is doubled from 1Hurt
Vary occlusion distance tolerance α across evaluated values (ablation)TMOH occlusion handling · MOT17 trainMOTA: deviation of 0.1 pointsNo clear effect
Estimate velocity from five previous bounding boxes (ablation)TMOH motion model · MOT17 trainIDF1Helped
Track in both temporal directions and merge tracklets (ablation)TMOH · MOT17 trainMOTA: 75.6 -> 80.8Helped
Track in both temporal directions and merge tracklets (ablation)TMOH · MOT17 trainIDF1: 76.8 -> 78.5Helped
Track backwards instead of forwards (ablation)TMOH · MOT17 trainMOTA: 73.5 -> 75.6Helped

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