Research map / Detection and segmentation / Tracking
The Solution Path Algorithm for Identity-Aware Multi-Object Tracking
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the solution path toward ℓ0 constraints rather than solving only under ℓ1 constraints (ablation) | Solution Path Tracker · terrace1 | MOTA: 0.378 -> 0.83 | Helped |
| Use smaller step sizes while decreasing p (ablation) | Solution Path Tracker · terrace1 | MOTA | Helped |
| Use identity-aware solution-path tracking instead of the strongest reported baseline | Multi-object tracking · terrace1 | Micro-F1: 0.561 -> 0.727 | Helped |
| Use identity-aware solution-path tracking instead of the strongest reported baseline | Multi-object tracking · terrace1 | MOTA: 0.844 -> 0.826 | Hurt |
| Use identity-aware solution-path tracking instead of the strongest reported baseline | Multi-object tracking · nursing home short | Micro-F1: 0.787 -> 0.809 | Helped |
| Use identity-aware solution-path tracking instead of the strongest reported baseline | Multi-object tracking · nursing home short | MOTA: 0.663 -> 0.692 | Helped |
| Use identity-aware solution-path tracking instead of the strongest reported baseline | Multi-object tracking · nursing home long | Micro-F1: 0.543 -> 0.614 | Helped |
| Use identity-aware solution-path tracking instead of the strongest reported baseline | Multi-object tracking · nursing home long | MOTA: 0.342 -> 0.389 | Helped |
| Sample uncertain observations using solution-path entropy rather than residual error (ablation) | Active learning for the terrace1 tracker · terrace1 | Micro-F1 | Helped |
Closest papers by meaning
- Self-Supervised Multi-Object Tracking with Path Consistency (CVPR 2024 · similarity 0.86)
- Multiple Object Tracking as ID Prediction (CVPR 2025 · similarity 0.84)
- Towards Generalizable Multi-Object Tracking (CVPR 2024 · similarity 0.83)
- Focusing on Tracks for Online Multi-Object Tracking (CVPR 2025 · similarity 0.82)
- When Trackers Fail: VLM-Guided Verification and Recovery for Robust Video Object Segmentation (NeurIPS 2026 · similarity 0.81)
- DiffusionTrack: Diffusion Model for Multi-Object Tracking (AAAI 2024 · similarity 0.81)
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