Research map / Detection and segmentation / Tracking
Groupwise Tracking of Crowded Similar-Appearance Targets From Low-Continuity Image Sequences
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use groupwise TPS association instead of Hungarian association | Kalman filter tracking · Marathon | MOTA: 34.1 -> 76.5 | Helped |
| Use groupwise TPS association instead of Hungarian association | Kalman filter tracking · Band | MOTA: 20.4 -> 74.1 | Helped |
| Use groupwise TPS association rather than the baseline Kalman association methods | Kalman filter tracking · Fiber tracking, increasing sparsity C | MOTA | Helped |
| Vary the number of prediction clusters from 8 to 16 (ablation) | Kalman-Groupwise · Fiber tracking, one dataset at C=19 | MOTA: mean MOTA is 85.6% with standard deviation 5.8% | No clear effect |
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