Presentation 2015-02-20
Detection of irregular behavior patterns based on comprehensive movement of people
Kizuku NISHIMURA, Shigeki AOKI, Takao MIYAMOTO,
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Abstract(in English) Automatic video surveillance systems have recently become an active area of research. Typical methods of research can be divided into two categories: approaches that provide model data for irregular behavior, and approaches that detect rare behavior. However, since these methods use specific features to each environment, the behavior patterns must be relearned when the number of surveillance cameras is increased or their position is changed a little. In this paper, we propose a novel method using approaches that detect rare behavior. First, we extract behavior patterns from a surveillance camera video. Second, we learn those by classifying them. Finally, when a new movement observed, we identify whether it is "normal" or "irregular" by referring it to the defined clusters. Since our method uses common features in some environments, the existing problem of relearning is resolved.
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Keyword(in English) Behavior pattern recognition / Detection of irregular situations / Comprehensive movements / Automatic video surveillance
Paper # PRMU2014-156,CNR2014-71
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Committee PRMU
Conference Date 2015/2/12(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of irregular behavior patterns based on comprehensive movement of people
Sub Title (in English)
Keyword(1) Behavior pattern recognition
Keyword(2) Detection of irregular situations
Keyword(3) Comprehensive movements
Keyword(4) Automatic video surveillance
1st Author's Name Kizuku NISHIMURA
1st Author's Affiliation Graduate School of Engineering, Osaka Prefecture University()
2nd Author's Name Shigeki AOKI
2nd Author's Affiliation College of Sustainable System Sciences, Osaka Prefecture University
3rd Author's Name Takao MIYAMOTO
3rd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University:College of Sustainable System Sciences, Osaka Prefecture University
Date 2015-02-20
Paper # PRMU2014-156,CNR2014-71
Volume (vol) vol.114
Number (no) 454
Page pp.pp.-
#Pages 6
Date of Issue