Research Article
Visual Object Tracking in RGB-D Data via Genetic Feature Learning
Table 1
SR results on the PTB dataset.
| | Algorithm | Target type | Target size | Movement | Occlusion | Motion type | | human | animal | rigid | large | small | slow | fast | yes | no | passive | active |
| | Print Tracker | 0.74 | 0.63 | 0.78 | 0.78 | 0.70 | 0.76 | 0.72 | 0.72 | 0.75 | 0.82 | 0.70 | | DS-KCF Tracker | 0.67 | 0.61 | 0.76 | 0.69 | 0.70 | 0.75 | 0.67 | 0.63 | 0.78 | 0.79 | 0.66 | | OAPF Tracker | 0.64 | 0.85 | 0.77 | 0.73 | 0.73 | 0.85 | 0.68 | 0.64 | 0.85 | 0.78 | 0.71 | GBM Tracker | 0.80 | 0.72 | 0.77 | 0.80 | 0.71 | 0.82 | 0.77 | 0.81 | 0.82 | 0.79 | 0.69 | | Our Tracker | 0.82 | 0.75 | 0.78 | 0.81 | 0.74 | 0.82 | 0.73 | 0.81 | 0.84 | 0.79 | 0.68 |
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