Research Article
Moving Object Detection for Dynamic Background Scenes Based on Spatiotemporal Model
Table 3
Comparison of performance between the proposed method and others.
| Methods | Recall | FPR | FNR | PWC | PRE | -Measure |
| ViBe [24] | 0.7222 | 0.0104 | 0.2778 | 1.2796 | 0.5346 | 0.5652 | LOBSTER [27] | 0.7670 | 0.0180 | 0.0023 | 1.9984 | 0.5923 | 0.5679 | Multiscale Spatiotemporal BG Model [30] | 0.7392 | 0.0095 | 0.2608 | 1.1365 | 0.5515 | 0.5953 | EFIC [31] | 0.6667 | 0.0144 | 0.3333 | 0.9154 | 0.6849 | 0.5779 | TVRPCA [32] | 0.56 | — | — | — | 0.74 | 0.61 | AAPSA [33] | 0.6955 | 0.0011 | 0.3045 | 0.4992 | 0.7336 | 0.6706 | Proposed method without postprocessing | 0.6692 | 0.5322 | 0.3318 | 1.2762 | 0.6084 | 0.6213 | Proposed method with postprocessing | 0.7296 | 0.2773 | 0.2704 | 0.2800 | 0.8755 | 0.7960 |
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