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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