Skip to main content

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