Research Article
Antiocclusion Visual Tracking Algorithm Combining Fully Convolutional Siamese Network and Correlation Filtering
Table 4
Comparison of algorithm accuracy values.
| ā | FM | BC | MB | DEF | IV | IPR | LR | OCC | OPR | OV | SV |
| HA-SiamVGG | 0.878 | 0.836 | 0.916 | 0.873 | 0.905 | 0.922 | 0.996 | 0.833 | 0.887 | 0.839 | 0.892 | DaSiamRPN | 0.817 | 0.856 | 0.816 | 0.877 | 0.868 | 0.889 | 0.942 | 0.811 | 0.877 | 0.72 | 0.852 | ATOM | 0.851 | 0.827 | 0.839 | 0.854 | 0.881 | 0.881 | 0.993 | 0.832 | 0.867 | 0.821 | 0.876 | ACT | 0.791 | 0.881 | 0.79 | 0.826 | 0.86 | 0.867 | 0.943 | 0.799 | 0.837 | 0.707 | 0.841 | C-RPN | 0.832 | 0.823 | 0.831 | 0.831 | 0.875 | 0.89 | 0.927 | 0.764 | 0.865 | 0.777 | 0.854 | SiamDW | 0.808 | 0.762 | 0.841 | 0.765 | 0.795 | 0.823 | 0.902 | 0.8 | 0.83 | 0.78 | 0.818 | SiamFC | 0.743 | 0.69 | 0.705 | 0.69 | 0.736 | 0.742 | 0.9 | 0.722 | 0.756 | 0.669 | 0.735 |
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