Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/64281
Title: Automatic fight detection based on motion analysis
Authors: Fu, YJE
Leong, HV 
Ngai, G 
Chan, S 
Keywords: Video surveillance
Optical flow
Motion analysis
Fight detection
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers
Source: 2015 IEEE International Symposium on Multimedia (ISM 2015) : Miami, Florida, USA, 14-16 December 2015, p. 57-60 How to cite?
Abstract: Social signal processing is becoming an important topic in affective computing. In this paper, we focus on an important social interaction in real life, namely, fighting. Fight detection will be useful in public transportation, prisons, bars, or even sport. A robust mechanism in detecting fights from a video will be extremely useful, especially in applications relevant to surveillance systems. Recent research works focus on extracting visual features from high resolution video, leading to computationally expensive systems. In this paper, we propose an approach to detect fights in a natural and robust way based on motion analysis, which is not only intuitive, but also robust. Experimental results show that we can accurately detect fight activities in different video surveillance settings.
URI: http://hdl.handle.net/10397/64281
ISBN: 978-1-4673-6564-2 (electronic)
978-1-4673-6563-5 (USB)
DOI: 10.1109/ISM.2015.98
Appears in Collections:Conference Paper

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