Violence detection based on histogram of optical flow orientation

Zhijie Yang; Tao Zhang; Jie Yang; Qiang Wu; Li Bai; Lixiu Yao

doi:10.1117/12.2051390

24 December 2013 Violence detection based on histogram of optical flow orientation

Zhijie Yang, Tao Zhang, Jie Yang, Qiang Wu, Li Bai, Lixiu Yao

Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 906718 (2013) https://doi.org/10.1117/12.2051390
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom

Abstract

In this paper, we propose a novel approach for violence detection and localization in a public scene. Currently, violence detection is considerably under-researched compared with the common action recognition. Although existing methods can detect the presence of violence in a video, they cannot precisely locate the regions in the scene where violence is happening. This paper will tackle the challenge and propose a novel method to locate the violence location in the scene, which is important for public surveillance. The Gaussian Mixed Model is extended into the optical flow domain in order to detect candidate violence regions. In each region, a new descriptor, Histogram of Optical Flow Orientation (HOFO), is proposed to measure the spatial-temporal features. A linear SVM is trained based on the descriptor. The performance of the method is demonstrated on the publicly available data sets, BEHAVE and CAVIAR.

Citation Download Citation

Zhijie Yang, Tao Zhang, Jie Yang, Qiang Wu, Li Bai, and Lixiu Yao "Violence detection based on histogram of optical flow orientation", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 906718 (24 December 2013); https://doi.org/10.1117/12.2051390

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