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MotionTrack: Learning Robust Short-Term and Long-Term Motions for Multi-Object Tracking

CVPR 2023 · Detection and segmentation › Tracking · approach: Association cues for online MOT · 168 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the Interaction Module to the baseline tracker (ablation)MotionTrack baseline · MOT17 validationIDF1: 82.6 -> 83.0Helped
Add the Interaction Module to the baseline tracker (ablation)MotionTrack baseline · MOT17 validationAssA: 72.4 -> 72.9Helped
Add the Refind Module after adding the Interaction Module (ablation)MotionTrack · MOT17 validationIDF1: 83.0 -> 83.7Helped
Add the Refind Module after adding the Interaction Module (ablation)MotionTrack · MOT17 validationHOTA: 70.5 -> 70.8Helped
Use history-trajectory-based refinding and error compensation instead of iterative-prediction IoU refinding (ablation)MotionTrack · MOT17 validation, occlusion limit 30 to 120 framesIDF1: 82.6 -> 83.3Helped
Raise the allowed occlusion duration from 30 to 120 frames (ablation)IoU-based tracker · MOT17 validationIDF1: 80.9 -> 80.1Hurt
Raise the allowed occlusion duration from 30 to 120 frames (ablation)ReID-based tracker · MOT17 validationIDF1: 77.2 -> 70.4Hurt
Use MotionTrack rather than the baseline for crowded or occluded casesMOT17 validation · Visibility < 0.25, minimum duration ≥ 20MOTA: 77.2 -> 78.3Helped
Use MotionTrack rather than the baseline for crowded or occluded casesMOT17 validation · Visibility < 0.25, minimum duration ≥ 100MOTA: 71.5 -> 72.4Helped
Use MotionTrack rather than P3AFormer(+W&B)MOT17 test · MOT17 testMOTA: 81.2 -> 81.1Hurt
Use MotionTrack rather than P3AFormer(+W&B)MOT20 test · MOT20 testIDF1: 76.4 -> 76.5Helped

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