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 |