关键词: 斗殴检测, 三维卷积, 预识别空间, 时空信息

Abstract:

Aiming at the demand of fighting action detection in surveillance video, a novel method of fighting action detection based on three-dimensional convolution neural network and video sampling algorithm is proposed. In view of the difficulty in the initial location of surveillance video action detection, a method based on the key region detection algorithm with human pose information is proposed to locate the initial frame of fighting action, thus forming the pre-recognition space of fighting action. As to the problem of redundancy and insufficient optimization degree of deep learning training data, a video sampling algorithm based on spatial temporal sampling is proposed. Also a three-dimensional convolution neural network is proposed, the network can learn the spatial temporal information of the whole action. Experimental results show that the proposed method achieves superior performance on two common datasets.

Key words: fighting detection, three-dimensional convolution, pre-recognition space, spatial temporal information