Research Article
Multimodal Deep Feature Fusion (MMDFF) for RGB-D Tracking
Table 1
Comparison results: SR using different deep features fusions on the PTB dataset.
| Deep Features | All SR | Target type | Target size | Movement | Occlusion | Motion type | human | animal | rigid | large | small | slow | fast | yes | no | passive | active |
| Only RGB | 0.73 | 0.75 | 0.69 | 0.74 | 0.80 | 0.72 | 0.71 | 0.72 | 0.74 | 0.85 | 0.78 | 0.73 |
| RGB+Depth | 0.77 | 0.79 | 0.71 | 0.77 | 0.81 | 0.77 | 0.76 | 0.73 | 0.81 | 0.86 | 0.79 | 0.75 |
| RGB+Depth + RGB-depth correlated | 0.79 | 0.81 | 0.74 | 0.79 | 0.83 | 0.79 | 0.78 | 0.74 | 0.83 | 0.86 | 0.81 | 0.77 |
| RGB+Depth + RGB-depth correlated +Motion | 0.84 | 0.83 | 0.86 | 0.85 | 0.85 | 0.86 | 0.82 | 0.83 | 0.87 | 0.87 | 0.82 | 0.83 |
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