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A Violent Behavior Detection Algorithm Combining Streakline Model with Variational Model

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Frontiers in Cyber Security (FCS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 879))

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Abstract

Violent behavior detection has become a hot topic within computer vision. The problems such as diversity of monitoring scene, different crowd density and mutual occlusion among crowds etc. result in a low recognition rate for violent behavior detection. In order to solve these problems, this work proposes an improved method to detect violence sequences. Features which are obtained by combining a streakline model with a variational model are used to discriminate fight and non-fight sequences. Finally, the validity and accuracy of the algorithm are verified via a large amount of challenging real-world surveillance videos.

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Acknowledgments

This work is supported by the Scientific Research Fund of Sichuan Provincial Education Department of China under Grant no. 2016JY0199, the Open Fund of the Key Laboratory of Pattern Recognition and Intelligent Information Processing of Chengdu University in Sichuan Province under Grant no. MSSB-2016-7, and the College Students’ Innovation and Entrepreneurship Training Program under Grant no. 201714389088.

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Correspondence to Jun Hu .

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Wang, X., Yang, L., Hu, J., Dai, H. (2018). A Violent Behavior Detection Algorithm Combining Streakline Model with Variational Model. In: Li, F., Takagi, T., Xu, C., Zhang, X. (eds) Frontiers in Cyber Security. FCS 2018. Communications in Computer and Information Science, vol 879. Springer, Singapore. https://doi.org/10.1007/978-981-13-3095-7_17

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  • DOI: https://doi.org/10.1007/978-981-13-3095-7_17

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  • Online ISBN: 978-981-13-3095-7

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