Online Detection of Abnormal Events in Video Streams

Figure 8

ROC curve of UMN dataset. (a) ROC curve of different features 𝐹 results via Strategy 2 of the lawn scene. The biggest AUC value is 0.9605. (b) Strategy 2 results of the indoor scene. The biggest AUC value is 0.8495. (c) Strategy 2 results of the plaza scene. The biggest AUC value is 0.9746. (d) The ROC curve of best performance of the lawn, indoor, and plaza scene when the training samples are learnt offline. The biggest AUC values of the lawn, indoor, and plaza are 0.9591, 0.8649 and 0.9649.

(a) ROC Strategy 2 lawn scene

(b) ROC Strategy 2 indoor scene

(c) ROC Strategy 2 plaza scene

(d) ROC train offline