A Review through Deep Learning Techniques for Violence Detection

With the rapid growth of video systems to monitor human behaviors, demands are increased on such systems which can detect violence events automatically. The violence detection is one of the active research area in machine learning and image processing to attract new researchers. The methods of violence detection are divided into two major categories which are traditional machine learning techniques and deep learning methods. In this article, deep learning methods have been reviewed and the variety of methods and structures of deep neural networks have been examined in this area. First, traditional and deep methods are compared with each other, and the superiority of deep methods over traditional methods is investigated from different aspects. Then, different structures of deep networks have been investigated regarding the detection of violence. Moreover, the available datasets for the analysis of violence in video are also introduced. Finally, it is discussed about the conducted research that can be useful for the development of future works.