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Multi Object Tracking On 2024 Ai City
评估指标
AssA
DetA
HOTA
LocA
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | |||||
|---|---|---|---|---|---|---|
| BEV-SUSHI | 76.19 | 86.94 | 81.22 | 95.67 | MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos | - |
| Yachiyo | 71.81 | 72.10 | 71.94 | 88.39 | Overlap Suppression Clustering for Offline Multi-Camera People Tracking | - |
| FraunhoferIOSB | 55.20 | 69.54 | 60.88 | 87.97 | OCMCTrack: Online Multi-Target Multi-Camera Tracking with Corrective Matching Cascade | - |
| SJTU-Lenovo | 55.06 | 84.03 | 67.22 | 93.82 | A Robust Online Multi-Camera People Tracking System With Geometric Consistency and State-aware Re-ID Correction | - |
| Nota | 54.96 | 68.37 | 60.93 | 90.62 | Cluster Self-Refinement for Enhanced Online Multi-Camera People Tracking | - |
| UW-ETRI | 54.80 | 59.88 | 57.14 | 91.24 | An Online Approach and Evaluation Method for Tracking People Across Cameras in Extremely Long Video Sequence | - |
| ARV | 48.07 | 54.85 | 51.06 | 89.61 | Online Multi-camera People Tracking with Spatial-temporal Mechanism and Anchor-feature Hierarchical Clustering | - |
| Asilla | 32.50 | 53.80 | 40.34 | 89.57 | Efficient online multi-camera tracking with memory-efficient accumulated appearance features and trajectory validation | - |
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