DocumentCode :
3764119
Title :
Automatic Fight Detection Based on Motion Analysis
Author :
Eugene Yujun Fu;Hong Va Leong;Grace Ngai;Stephen Chan
Author_Institution :
Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2015
Firstpage :
57
Lastpage :
60
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.
Keywords :
"Optical imaging","Image motion analysis","Computer vision","Feature extraction","Optical reflection","Optical filters","Acceleration"
Publisher :
ieee
Conference_Titel :
Multimedia (ISM), 2015 IEEE International Symposium on
Type :
conf
DOI :
10.1109/ISM.2015.98
Filename :
7442296
Link To Document :
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