Table 1.
Comparative experimental results.
| Methods | P | R | F1 | AP | FPS |
|---|---|---|---|---|---|
| Faster-R-CNN | 70.13% | 63.20% | 0.6648 | 68.75% | 27.26 |
| Cascade R-CNN | 78.32% | 68.08% | 0.7284 | 74.68% | 8.63 |
| YOLOv3 | 78.51% | 67.98% | 0.7286 | 73.85% | 17.21 |
| YOLOv3+ multiple-frame input |
87.59% | 75.72% | 0.8122 | 79.43% | 6.30 |
| YOLOv3+ multiple-frame input+ optical flow |
89.21% | 78.36% | 0.8343 | 85.18% | 0.87 |
| YOLOv4 | 83.47% | 79.15% | 0.8125 | 83.25% | 20.05 |
| YOLOv4+ multiple-frame input |
89.28% | 84.88% | 0.8702 | 86.71% | 10.17 |
| YOLOv4+ multiple-frame input+ optical flow |
89.68% | 86.24% | 0.8792 | 91.75% | 1.48 |
| YOLOv5x | 85.92% | 80.18% | 0.8294 | 83.26% | 20.21 |
| YOLOv5l | 83.41% | 78.39% | 0.8082 | 81.94% | 31.14 |
| YOLOv5m | 81.56% | 73.47% | 0.7730 | 79.17% | 52.63 |
| YOLOv5s | 78.77% | 66.71% | 0.7224 | 75.38% | 66.45 |
| YOLOv5s+ multiple-frame input |
86.18% | 76.43% | 0.8101 | 82.27% | 54.37 |
| YOLOv5s+ multiple-frame input+ optical flow |
86.96% | 80.67% | 0.8369 | 86.87% | 31.84 |
| YOLOv5n | 76.38% | 63.11% | 0.6911 | 71.51% | 75.34 |