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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