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Table 11 Comparison results with the CDnet-2014 “office” dataset in a noisy environment

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

  Frame Diff Global Ilu MF Grimson GMM Zivkovic GMM SC-SOBS CDAS
FNR 0.293 0.221 0.018 0.223 0.241 0.101 0.008
FPR 0.025 0.000 0.036 0.374 0.365 0.667 0.020
PWC (%) 28.531 20.198 1.361 20.384 20.176 10.954 0.580
FAR (%) 97.000 70.700 2.205 71.745 72.923 95.384 0.000
MR (%) 0.784 0.000 1.023 5.584 5.264 1.079 0.795