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Paper Abstract and Keywords
Presentation 2011-03-11 11:40
Person identification robust to changes in appearance
Yumi Iwashita, Koji Uchino, Ryo Kurazume (Kyushu Univ.) PRMU2010-281
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a novel method for gait-based person identification robust to changes in appearance. Gait is sensitive to appearance changes, such as variations of clothes and carrying conditions, so the correct classification rate is reduced in case target's appearance condition is different from that in the database. To deal with this problem, a part-based gait identification method has been proposed. In this method the human body is divided into eight parts, and the discrimination capability of each part, which is trained with training datasets including various types of clothes, is controlled to correspond to different changes of clothes. However, the correct classification rate would be reduced in case target's clothes are not included in the training datasets. So we propose a new part-based person identification method, where the discrimination capability at each part is directly controlled based on gait features between gallery datasets and probe dataset. Experiments using a gait database CASIA show the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Gait / person identification / affine moment invariants / local features / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 467, PRMU2010-281, pp. 259-263, March 2011.
Paper # PRMU2010-281 
Date of Issue 2011-03-03 (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 2011-03-10 - 2011-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2011-03-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Person identification robust to changes in appearance 
Sub Title (in English)  
Keyword(1) Gait  
Keyword(2) person identification  
Keyword(3) affine moment invariants  
Keyword(4) local features  
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1st Author's Name Yumi Iwashita  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Koji Uchino  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Ryo Kurazume  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2011-03-11 11:40:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2010-281 
Volume (vol) vol.110 
Number (no) no.467 
Page pp.259-263 
#Pages
Date of Issue 2011-03-03 (PRMU) 


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