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Paper Abstract and Keywords
Presentation 2012-02-09 13:30
Detection of Abnormal Situations Based on Comprehensive Behavioral Patterns
Eri Kuzumoto, Tatsuya Gibo, Shigeki Aoki, Takao Miyamoto, Motoi Iwata, Akira Shiozaki (Osaka Prefecture Univ.) PRMU2011-195 SP2011-110
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, automatic surveillance systems have become active area of research. There are two typical methods of research for automatic surveillance systems. They are the methods of giving model data of abnormal patterns and the methods of detecting rare patterns. The former methods can detect the patterns of given model data, but cannot define all abnormal patterns. The latter methods are not able to detect all abnormal patterns. In this paper, we propose a novel method of having the advantage of these methods. First, we extract behavioral patterns from images of a surveillance camera. Second, we classify the behavioral patterns and ``normal'' or ``abnormal'' information is given to each class. Finally, we recognize observed behavioral patterns based on the information.
Keyword (in Japanese) (See Japanese page) 
(in English) Behavioral pattern recognition / Detection of abnormal situations / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 430, PRMU2011-195, pp. 53-58, Feb. 2012.
Paper # PRMU2011-195 
Date of Issue 2012-02-02 (PRMU, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2011-195 SP2011-110

Conference Information
Committee PRMU SP  
Conference Date 2012-02-09 - 2012-02-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2012-02-PRMU-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection of Abnormal Situations Based on Comprehensive Behavioral Patterns 
Sub Title (in English)  
Keyword(1) Behavioral pattern recognition  
Keyword(2) Detection of abnormal situations  
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1st Author's Name Eri Kuzumoto  
1st Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
2nd Author's Name Tatsuya Gibo  
2nd Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
3rd Author's Name Shigeki Aoki  
3rd Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
4th Author's Name Takao Miyamoto  
4th Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
5th Author's Name Motoi Iwata  
5th Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
6th Author's Name Akira Shiozaki  
6th Author's Affiliation Osaka Prefecture University (Osaka Prefecture Univ.)
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Speaker Author-1 
Date Time 2012-02-09 13:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2011-195, SP2011-110 
Volume (vol) vol.111 
Number (no) no.430(PRMU), no.431(SP) 
Page pp.53-58 
#Pages 6 
Date of Issue 2012-02-02 (PRMU, SP) 

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