Table 3.

The comparison of our proposed method with state-of-the-art methods for abnormal event detection in the UMN dataset. NN, nearest neighbor. SRC, sparse reconstruction cost. STCOG, spatial-temporal co-occurrence Gaussian mixture models.

Method	Area under ROC
	lawn	indoor	plaza
Social Force [50]	0.96
Optical Flow [50]	0.84
NN [49]	0.93
SRC [49]	0.995	0.975	0.964
STCOG [51]	0.9362	0.7759	0.9661
LS-SVM (Ours)	0.9874	0.8900	0.9800
Online (Ours)	0.9874	0.8904	0.9839
Sparse Online(Ours)	0.9510	0.8886	0.9515