Multiple Object Tracking On Crohd
Métriques
IDEucl
IDF1
IDs
ML
MOTA
MT
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | IDEucl | IDF1 | IDs | ML | MOTA | MT | Paper Title | Repository |
|---|---|---|---|---|---|---|---|---|
| HeadHunter-T | 60.3 | 57.1 | 892 | 93 | 63.6 | 146 | Tracking Pedestrian Heads in Dense Crowd | |
| OC-SORT | - | 62.9 | - | - | 67.9 | - | Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking | |
| Tracktor | 31.8 | 38.5 | 3474 | 117 | 58.9 | 125 | Tracking Pedestrian Heads in Dense Crowd | |
| SORT | 58 | 48.4 | 649 | 216 | 46.4 | 49 | Tracking Pedestrian Heads in Dense Crowd | |
| PP-Tracking | - | - | - | - | 72.6 | - | PP-YOLOE: An evolved version of YOLO |
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