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Table 6 Comparisons of FNR 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 0.071 0.013 0.038 0.136 0.109 0.014 0.023
Fall 0.878 0.858 0.903 0.866 0.897 0.658 0.650
Traffic 0.711 0.353 0.409 0.401 0.200 0.198 0.137
Over pass 0.613 0.606 0.679 0.508 0.497 0.181 0.412