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 |
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) |
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BioX2016-46 PRMU2016-209 |
Conference Information |
Committee |
PRMU BioX |
Conference Date |
2017-03-20 - 2017-03-21 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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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) |
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Keyword(1) |
Gait database |
Keyword(2) |
multi-view large population database |
Keyword(3) |
gait recognition |
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performance evaluation |
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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 |
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Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-03-20 15:20:00 |
Presentation Time |
25 minutes |
Registration for |
BioX |
Paper # |
BioX2016-46, PRMU2016-209 |
Volume (vol) |
vol.116 |
Number (no) |
no.527(BioX), no.528(PRMU) |
Page |
pp.81-86 |
#Pages |
6 |
Date of Issue |
2017-03-13 (BioX, PRMU) |
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