Abnormal Activity Recognition from Surveillance Videos Using Convolutional Neural Network.

We have conducted multiple experiments on two publicly available violent activity datasets, such as Surveillance Fight and Hockey Fight datasets; our proposed model achieved accuracies of 81.05 and 98.00, respectively.