Research map / Detection and segmentation / Tracking
Tracking Pedestrian Heads in Dense Crowd
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add the context module to HeadHunter (ablation) | HeadHunter · CroHD test | F1: 64.5 -> 68.3 | Helped |
| Use the median anchor sampling strategy (ablation) | HeadHunter · CroHD test | F1: 57.8 -> 64.5 | Helped |
| Add the Particle Filter instead of using camera-motion compensation only (ablation) | HeadHunter-T · CroHD training | IDEucl: 40.1 -> 61.5 | Helped |
| Increase the particle count from 10 to 100 (ablation) | HeadHunter-T · CroHD training | IDEucl: 58.2 -> 61.5 | Helped |
| Add color-histogram re-identification (ablation) | HeadHunter-T · CroHD training | ID Sw.: 1411 -> 1247 | Helped |
| Give color-histogram similarity greater weight than IoU (ablation) | HeadHunter-T · CroHD training | ID Sw.: 1247 -> 1280 | Hurt |
| Replace the Particle Filter with a Kalman Filter (ablation) | HeadHunter-T · CroHD training | IDEucl: 61.5 -> 53.8 | Hurt |
| Track heads with HeadHunter-T rather than Tracktor+MM | HeadHunter-T · CroHD test | IDF1: 45.0 -> 57.1 | Helped |
Closest papers by meaning
- Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes (CVPR 2018 · similarity 0.87)
- WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection (CVPR 2018 · similarity 0.87)
- STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes (CVPR 2022 · similarity 0.86)
- Generalizable Pedestrian Detection: The Elephant in the Room (CVPR 2021 · similarity 0.85)
- Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting (CVPR 2025 · similarity 0.85)
- CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion Models (CVPR 2024 · similarity 0.83)
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