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Paper Abstract and Keywords
Presentation 2017-03-20 15:20
The OU-ISIR MVLP: Multi-view Large Population Gait Database and Its Performance Evaluation
Noriko Takemura, Yasushi Makihara, Daigo Muramatsu (Osaka Univ.), Tomio Echigo (OECU), Yasushi Yagi (Osaka Univ.) BioX2016-46 PRMU2016-209
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes the world’s largest wide view variation gait database, the OU-ISIR Multi-View Large Population (MVLP) Gait Database, and its application to a statistically reliable performance evaluation of silhouette-based cross-view gait recognition. Our database includes 10,307 subjects from 14 view angles (0$^circ$-360$^circ$).
In addition, we evaluated various approaches to gait recognition that are robust to view angle. Using our dataset, we were able to fully exploit a convolutional neural network-based gait recognition method which is a state-of-the-art method requiring a large
number of training samples.
Keyword (in Japanese) (See Japanese page) 
(in English) Gait database / multi-view large population database / gait recognition / performance evaluation / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 527, BioX2016-46, pp. 81-86, March 2017.
Paper # BioX2016-46 
Date of Issue 2017-03-13 (BioX, PRMU) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 BioX2016-46 PRMU2016-209

Conference Information
Committee PRMU BioX  
Conference Date 2017-03-20 - 2017-03-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To BioX 
Conference Code 2017-03-PRMU-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The OU-ISIR MVLP: Multi-view Large Population Gait Database and Its Performance Evaluation 
Sub Title (in English)  
Keyword(1) Gait database  
Keyword(2) multi-view large population database  
Keyword(3) gait recognition  
Keyword(4) performance evaluation  
1st Author's Name Noriko Takemura  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yasushi Makihara  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Daigo Muramatsu  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Tomio Echigo  
4th Author's Affiliation Osaka Electro-Communication University (OECU)
5th Author's Name Yasushi Yagi  
5th Author's Affiliation Osaka University (Osaka Univ.)
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Date Time 2017-03-20 15:20:00 
Presentation Time 25 
Registration for BioX 
Paper # IEICE-BioX2016-46,IEICE-PRMU2016-209 
Volume (vol) IEICE-116 
Number (no) no.527(BioX), no.528(PRMU) 
Page pp.81-86 
#Pages IEICE-6 
Date of Issue IEICE-BioX-2017-03-13,IEICE-PRMU-2017-03-13 

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