Violence detection in video by using 3D convolutional neural networks

Abstract

Whereas most researches are about the action recognition problem, the detection of fights has been comparatively less involved. Such capability may be of great importance. Typical methods mostly rely on domain knowledge to construct complex handcraft features from inputs. On the contrary, deep models can act directly on the raw inputs and automatically extracts features. So we developed in this paper a novel 3D ConvNets model for violence detection in video without using any prior knowledge. To evaluate our method, experimental validation conducted in the context of the Hockey dataset. The results show that the method achieves superior performance without relying on handcrafted features.