Automatic Fight Detection Based on Motion Analysis

Eugene Yujun Fu, Hong Va Leong, Grace Ngai, Stephen Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

14 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015
Number of pages4
ISBN (Electronic)9781509003792
Publication statusPublished - 25 Mar 2016
Event17th IEEE International Symposium on Multimedia, ISM 2015 - Miami, United States
Duration: 14 Dec 201516 Dec 2015


Conference17th IEEE International Symposium on Multimedia, ISM 2015
Country/TerritoryUnited States


  • fight detection
  • motion analysis
  • optical flow
  • video surveillance

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software
  • Computer Networks and Communications


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