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http://dx.doi.org/10.5909/JBE.2015.20.3.430

Violent Behavior Detection using Motion Analysis in Surveillance Video  

Kang, Joohyung (KETI)
Kwak, Sooyeong (Hanbat National University)
Publication Information
Journal of Broadcast Engineering / v.20, no.3, 2015 , pp. 430-439 More about this Journal
Abstract
The demand of violence detection techniques using a video analysis to help prevent crimes is increasing recently. Many researchers have studied vision based behavior recognition but, violent behavior analysis techniques usually focus on violent scenes in television and movie content. Many methods previously published usually used both a color(e.g., skin and blood) and motion information for detecting violent scenes because violences usually involve blood scenes in movies. However, color information (e.g., blood scenes) may not be useful cues for violence detection in surveillance videos, because they are rarely taken in real world situations. In this paper, we propose a method of violent behavior detection in surveillance videos using motion vectors such as flow vector magnitudes and changes in direction except the color information. In order to evaluate the proposed algorithm, we test both USI dataset and various real world surveillance videos from YouTube.
Keywords
violence detection; behavior recognition; surveillance video;
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