Research Article
Target-Aware Deep Feature Compression for Power Intelligent Inspection Tracking
Table 1
Comparison of tracking speed and performance.
| Sequences | Trackers | Score | FPS |
| Instrument1 | CSK | 0.596 | 357 | KCF | 0.313 | 190.08 | ECO | 0.913 | 2.338 | TADT | 0.820 | 8.842 | SiamRPN | 0.631 | 67.848 | Ours | 0.829 | 31.066 |
| Instrument2 | CSK | 0.567 | 119.761 | KCF | 0.624 | 26.33 | ECO | 0.814 | 1.44 | TADT | 0.764 | 37.087 | SiamRPN | 0.823 | 44.103 | Ours | 0.816 | 31.894 |
| Instrument4 | CSK | 0.776 | 499.397 | KCF | 0.737 | 217.5 | ECO | 0.885 | 1.431 | TADT | 0.845 | 26.592 | SiamRPN | 0.843 | 70.173 | Ours | 0.845 | 27.635 |
| Insulator1 | CSK | 0.417 | 610.642 | KCF | 0.417 | 34.45 | ECO | 0.428 | 2.366 | TADT | 0.426 | 36.916 | SiamRPN | 0.465 | 71.861 | Ours | 0.425 | 34.809 |
| Liquidometer | CSK | 0.338 | 2118.214 | KCF | 0.113 | 969.45 | ECO | 0.791 | 2.4 | TADT | 0.702 | 25.092 | SiamRPN | 0.557 | 98.468 | Ours | 0.572 | 28.871 |
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