Research Article
Single-Object Tracking Algorithm Based on Two-Step Spatiotemporal Deep Feature Fusion in a Complex Surveillance Scenario
Table 4
Comparison results for the single tracking algorithm.
| Modules | Object detection | Object tracking | Fusion |
| Model | SSD | YOLO-V3 | DSST | SAMF | KCF | YOLO-V3 + KCF | CLE (pixel) | 21.1 | 16.9 | 17.27 | 13.28 | 14.6 | 10.1 | OR | 0.524 | 0.816 | 0.711 | 0.625 | 0.752 | 0.841 | Frame rate (FPS) | 6.5 | 8.7 | 34.2 | 26.1 | 46.0 | 16.1 |
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