Presentation 2006-06-15
Detection of a Deviant Behavior Person Based on Hidden Markov Model
Naohiko SUZUKI, Kosuke Hirasawa, Kenichi TANAKA, Yoshinori KOBAYASHI, Yoichi SATO, Yozo FUJINO,
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Abstract(in English) Recently, development of vision sensors and GPS enables continuous detection of human positions in various situations. On the other hand, the needs for detecting of abnormal persons and analysis of customers are increasing in surveillance systems. Therefore, in this research, we propose two methods. One is to classify human movement patterns, and the other is to detect a deviant behavior person. To show the validity of the proposed methods, we evaluate them using human trajectories which are observed in real space.
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Keyword(in English) Hidden Markov Model / Trajectory / Security / Marketing Research
Paper # DE2006-8,PRMU2006-46
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Committee DE
Conference Date 2006/6/8(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of a Deviant Behavior Person Based on Hidden Markov Model
Sub Title (in English)
Keyword(1) Hidden Markov Model
Keyword(2) Trajectory
Keyword(3) Security
Keyword(4) Marketing Research
1st Author's Name Naohiko SUZUKI
1st Author's Affiliation Advanced Technology R&D Center, Mitsubishi Electric Corp.()
2nd Author's Name Kosuke Hirasawa
2nd Author's Affiliation Advanced Technology R&D Center, Mitsubishi Electric Corp.
3rd Author's Name Kenichi TANAKA
3rd Author's Affiliation Advanced Technology R&D Center, Mitsubishi Electric Corp.
4th Author's Name Yoshinori KOBAYASHI
4th Author's Affiliation Institute of Industrial Science, Tokyo University
5th Author's Name Yoichi SATO
5th Author's Affiliation Institute of Industrial Science, Tokyo University
6th Author's Name Yozo FUJINO
6th Author's Affiliation Graduate School of Engineering, Tokyo University
Date 2006-06-15
Paper # DE2006-8,PRMU2006-46
Volume (vol) vol.106
Number (no) 97
Page pp.pp.-
#Pages 6
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