Paper Abstract and Keywords |
Presentation |
2009-02-20 09:00
Gait Recognition Using CHLAC Features and Hidden Markov Models Muhammad Rasyid Aqmar, Koichi Shinoda, Sadaoki Furui (Tokyo Inst. of Tech.) PRMU2008-224 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Variations in speed have a strong impact on gait recognition performance. In this paper, we propose a gait recognition method that is robust against speed variation. Our method is based on combining Fisher Discriminant Analysis (FDA)-based Cubic Higher-order Local Auto-Correlation (CHLAC) and the statistical framework provided by hidden Markov models (HMMs). This combination is aimed at better retaining the spatio-temporal characteristics of gait sequences. We compared the performance of the system with a combination of Principal Component Analysis (PCA) features and HMMs, and also with a combination of CHLAC and \textit{k}-Nearest Neighbour (\textit{k}-NN). We found that CHLAC-FDA combined with HMMs gave better results. Applying a Gaussian mixture to the HMMs also provided improvement in the performance. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
CHLAC / FDA / Gaussian Mixture HMMs / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 432, PRMU2008-224, pp. 99-102, Feb. 2009. |
Paper # |
PRMU2008-224 |
Date of Issue |
2009-02-12 (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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PRMU2008-224 |
Conference Information |
Committee |
PRMU |
Conference Date |
2009-02-19 - 2009-02-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Univ. of Tokyo (IIS) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2009-02-PRMU |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Gait Recognition Using CHLAC Features and Hidden Markov Models |
Sub Title (in English) |
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CHLAC |
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FDA |
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Gaussian Mixture HMMs |
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1st Author's Name |
Muhammad Rasyid Aqmar |
1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
2nd Author's Name |
Koichi Shinoda |
2nd Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
3rd Author's Name |
Sadaoki Furui |
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Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2009-02-20 09:00:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2008-224 |
Volume (vol) |
vol.108 |
Number (no) |
no.432 |
Page |
pp.99-102 |
#Pages |
4 |
Date of Issue |
2009-02-12 (PRMU) |