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Paper Abstract and Keywords
Presentation 2013-02-22 16:40
An Embedded Background Modeling Method for Detecting Object Left Behind and Very Still Person
Thi Thi Zin, Hiromitsu Hama, Takashi Toriu, Pyke Tin (Osaka City Univ.) PRMU2012-179
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an embedded background modeling method for detecting object left behind and very still person in public places. In doing so, we employ a new background subtraction algorithm based on multivariate background models in which bivariate background modeling technique is reinforced by embedding a stochastic background. Moreover it utilizes logical and statistical analysis to differentiate between objects left behind and very still persons. We evaluate the robustness and efficiency of the method by using our own video sequences taken in an international airport and our University Campus as well as PETS 2006 datasets.
Keyword (in Japanese) (See Japanese page) 
(in English) Background modeling / Object left behind / Still person / Video surveillance / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 441, PRMU2012-179, pp. 239-244, Feb. 2013.
Paper # PRMU2012-179 
Date of Issue 2013-02-14 (PRMU) 
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 PRMU2012-179

Conference Information
Committee PRMU  
Conference Date 2013-02-21 - 2013-02-22 
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 2013-02-PRMU 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Embedded Background Modeling Method for Detecting Object Left Behind and Very Still Person 
Sub Title (in English)  
Keyword(1) Background modeling  
Keyword(2) Object left behind  
Keyword(3) Still person  
Keyword(4) Video surveillance  
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1st Author's Name Thi Thi Zin  
1st Author's Affiliation Osaka City University (Osaka City Univ.)
2nd Author's Name Hiromitsu Hama  
2nd Author's Affiliation Osaka City University (Osaka City Univ.)
3rd Author's Name Takashi Toriu  
3rd Author's Affiliation Osaka City University (Osaka City Univ.)
4th Author's Name Pyke Tin  
4th Author's Affiliation Osaka City University (Osaka City Univ.)
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Speaker Author-1 
Date Time 2013-02-22 16:40:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2012-179 
Volume (vol) vol.112 
Number (no) no.441 
Page pp.239-244 
#Pages 6 
Date of Issue 2013-02-14 (PRMU) 

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