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Table 9 Comparisons of FAR of the competing methods over tested scenarios

From: An online graph-based anomalous change detection strategy for unsupervised video surveillance

Scenario Frame Diff Global Ilu MF Grimson GMM Zivkovic GMM SC-SOBS CDAS
Office 6.841 0.000 0.000 3.160 2.284 8.331 0.000
Fall 26.765 25.664 27.014 25.433 25.688 27.516 34.651
Traffic 77.641 84.408 70.817 66.671 56.250 31.412 47.260
Over pass 14.223 14.138 15.960 12.742 12.178 11.207 9.124