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Paper Abstract and Keywords
Presentation 2009-03-14 15:30
Object Segmentation Based on Adaptive Background Model Considering Spatio-temporal Features
Tatsuya Tanaka, Atsushi Shimada (Kyushu Univ.), Daisaku Arita (ISIT), Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2008-282
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a new method for background modeling considering spatio-temporal features. Our method consists of three complementary approaches. The pixel-level background model uses the probability density function to approximate background model. The PDF is estimated nonparametrically by using Parzen density estimation. The region-level background model is based on the evaluation of the local texture at pixel-level resolution while reducing the effects of variations in lighting. And the frame-level background model detects sudden, global changes in the image and estimates a present background image from input image and original background image. Then, the moving object is extracted by background subtraction. Fusing their approaches realizes robust object detection under varying illumination. Several experiments show the effectiveness of our approach.
Keyword (in Japanese) (See Japanese page) 
(in English) Adaptive background model / Illumination change / Parzen density estimation / Radial Reach Correlation / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 484, PRMU2008-282, pp. 281-286, March 2009.
Paper # PRMU2008-282 
Date of Issue 2009-03-06 (PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee PRMU  
Conference Date 2009-03-13 - 2009-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2009-03-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Object Segmentation Based on Adaptive Background Model Considering Spatio-temporal Features 
Sub Title (in English)  
Keyword(1) Adaptive background model  
Keyword(2) Illumination change  
Keyword(3) Parzen density estimation  
Keyword(4) Radial Reach Correlation  
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1st Author's Name Tatsuya Tanaka  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Atsushi Shimada  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Daisaku Arita  
3rd Author's Affiliation Institute of Systems, Information Technologies and Nanotechnologies (ISIT)
4th Author's Name Rin-ichiro Taniguchi  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2009-03-14 15:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2008-282 
Volume (vol) vol.108 
Number (no) no.484 
Page pp.281-286 
#Pages
Date of Issue 2009-03-06 (PRMU) 


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