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Paper Abstract and Keywords
Presentation 2008-10-24 14:50
Robust Background Subtraction by Statistic Reach Feature
Kenji Iwata, Yutaka Satoh, Ryushi Ozaki, Katsuhiko Sakaue (AIST) PRMU2008-105
Abstract (in Japanese) (See Japanese page) 
(in English) A statistic reach feature (SR feature) is defined as two arbitrary points that keep the sign of increase and decrease of the brightness in the image sequence. The SR feature realizes robust background subtraction for illumination changes and some noises. This paper describes a definition of the SR feature, and the application to background subtraction. In addition, we propose the two pass method that revalues the SR feature based on the background subtraction result. False positive appears when the foreground is contained in the reach point. The two pass method can improve by excluding the reach point that is the foreground. The experimental results show that the proposal method can segment the background with stability even if the image sequence contains illumination changes.
Keyword (in Japanese) (See Japanese page) 
(in English) background subtraction / statistic reach feature / SR feature / ISC / RRC / feature extraction / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 263, PRMU2008-105, pp. 97-102, Oct. 2008.
Paper # PRMU2008-105 
Date of Issue 2008-10-16 (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 PRMU2008-105

Conference Information
Committee PRMU  
Conference Date 2008-10-23 - 2008-10-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokushima Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2008-10-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Robust Background Subtraction by Statistic Reach Feature 
Sub Title (in English)  
Keyword(1) background subtraction  
Keyword(2) statistic reach feature  
Keyword(3) SR feature  
Keyword(4) ISC  
Keyword(5) RRC  
Keyword(6) feature extraction  
Keyword(7)  
Keyword(8)  
1st Author's Name Kenji Iwata  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
2nd Author's Name Yutaka Satoh  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Ryushi Ozaki  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Katsuhiko Sakaue  
4th Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
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Speaker Author-1 
Date Time 2008-10-24 14:50:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2008-105 
Volume (vol) vol.108 
Number (no) no.263 
Page pp.97-102 
#Pages 6 
Date of Issue 2008-10-16 (PRMU) 

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