Skip to main content

Table 3 Comparison results with the hand-labeled dataset in a noisy environment

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

Method Frame Diff Global Ilu MF Grimson GMM Zivkovic GMM SC-SOBS CDAS
FNR 0.043 0.056 0.064 0.036 0.034 0.024 0.000
FPR 0.823 0.047 0.672 0.796 0.794 0.831 0.163
PWC (%) 42.891 5.023 13.520 30.894 30.184 38.540 7.995
FAR (%) 28.530 51.478 56.184 21.766 22.214 31.253 0.000
MR (%) 33.351 0.186 9.076 31.94 31.85 10.150 8.834