Research Article
Optimization of the Regularization in Background and Foreground Modeling
Table 1
The data comparison of background modeling and foreground detection.
| Method | Lobby | Airport | Shopping mall | Restaurant | Campus | 128 * 160 | 144 * 176 | 256 * 320 | 120 * 160 | 128 * 160 |
| IALM | | | | | | Time | 30.69 | 42.55 | 145.97 | 30.46 | 30.98 | Iteration | 33 | 35 | 34 | 34 | 34 | Rank | 111 | 103 | 91 | 103 | 101 | Correlation | 0.1822 | 0.3107 | 0.1900 | 0.2166 | 0.1567 | GoDec | | | | | | Time | 40.41 | 61.30 | 182.84 | 56.34 | 66.59 | Iteration | max_iter | max_iter | max_iter | max_iter | max_iter | Rank | 2 | 2 | 2 | 3 | 2 | Correlation | 0.2518 | 0.3867 | 0.2485 | 0.3135 | 0.2600 | NSMP | | | | | | Time | 10.87 | 18.66 | 60.21 | 11.21 | 12.90 | Iteration | 6 | 8 | 7 | 7 | 7 | Rank | 3 | 4 | 5 | 4 | 5 | Correlation | 0.1082 | 0.1059 | 0.0935 | 0.1743 | 0.0819 | WNSMP | | | | | | Time | 9.06 | 15.79 | 50.81 | 11.20 | 12.63 | Iteration | 5 | 7 | 6 | 7 | 7 | Rank | 3 | 3 | 4 | 4 | 4 | Correlation | 0.0895 | 0.0622 | 0.0517 | 0.0917 | 0.0639 |
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