Automatic Fight Detection Based on Motion Analysis

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

doi:10.1109/ISM.2015.98

Automatic Fight Detection Based on Motion Analysis

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

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

14 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015
Publisher	IEEE
Pages	57-60
Number of pages	4
ISBN (Electronic)	9781509003792
DOIs	https://doi.org/10.1109/ISM.2015.98
Publication status	Published - 25 Mar 2016
Event	17th IEEE International Symposium on Multimedia, ISM 2015 - Miami, United States Duration: 14 Dec 2015 → 16 Dec 2015

Conference

Conference	17th IEEE International Symposium on Multimedia, ISM 2015
Country/Territory	United States
City	Miami
Period	14/12/15 → 16/12/15

Keywords

fight detection
motion analysis
optical flow
video surveillance

ASJC Scopus subject areas

Computer Science Applications
Hardware and Architecture
Software
Computer Networks and Communications

More information

10.1109/ISM.2015.98

Cite this

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title = "Automatic Fight Detection Based on Motion Analysis",

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 = "fight detection, motion analysis, optical flow, video surveillance",

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booktitle = "Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015",

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AU - Leong, Hong Va

AU - Ngai, Grace

AU - Chan, Stephen

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N2 - 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.

AB - 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.

KW - fight detection

KW - motion analysis

KW - optical flow

KW - video surveillance

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U2 - 10.1109/ISM.2015.98

DO - 10.1109/ISM.2015.98

M3 - Conference article published in proceeding or book

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BT - Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015

PB - IEEE

T2 - 17th IEEE International Symposium on Multimedia, ISM 2015

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ER -

Automatic Fight Detection Based on Motion Analysis

Abstract

Conference

Keywords

ASJC Scopus subject areas

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