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Paper Abstract and Keywords
Presentation 2013-03-12 11:35
Sign Language Recognition Using Kinect and Particle Filter
Yoshihiro Furuya, Daisuke Imamura, Yasuo Horiuchi, Kazuhiko Kawamoto, Takahiro Shinozaki, Shingo Kuroiwa (Chiba Univ.) IMQ2012-79 IE2012-183 MVE2012-140 WIT2012-89
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we will discuss a sign language recognition method using a Particle Filter and Kinect. We have previously proposed an arm detection method based on a particle filter algorithm using depth and skin color information. We have implemented the method using Kinect and demonstrated that it gave good recognition accuracy. However, the method has a constraint that the users have to roll up their sleeves since it requires the color of arms. In this study, we propose an improved algorithm that removes the constraint. Experimental results show that the new algorithm gives comparable performance as the previous one without using the arm color.
Keyword (in Japanese) (See Japanese page) 
(in English) Sign Language Recognition / Particle Filter / Hidden Markov Model / Kinect / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 475, WIT2012-89, pp. 251-256, March 2013.
Paper # WIT2012-89 
Date of Issue 2013-03-04 (IMQ, IE, MVE, WIT) 
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)
Download PDF IMQ2012-79 IE2012-183 MVE2012-140 WIT2012-89

Conference Information
Committee MVE IE WIT IMQ CQ  
Conference Date 2013-03-11 - 2013-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukuoka Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Quality of media communication, welfare, and general topics 
Paper Information
Registration To WIT 
Conference Code 2013-03-MVE-IE-WIT-IMQ-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sign Language Recognition Using Kinect and Particle Filter 
Sub Title (in English)  
Keyword(1) Sign Language Recognition  
Keyword(2) Particle Filter  
Keyword(3) Hidden Markov Model  
Keyword(4) Kinect  
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1st Author's Name Yoshihiro Furuya  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Daisuke Imamura  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Yasuo Horiuchi  
3rd Author's Affiliation Chiba University (Chiba Univ.)
4th Author's Name Kazuhiko Kawamoto  
4th Author's Affiliation Chiba University (Chiba Univ.)
5th Author's Name Takahiro Shinozaki  
5th Author's Affiliation Chiba University (Chiba Univ.)
6th Author's Name Shingo Kuroiwa  
6th Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2013-03-12 11:35:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # IMQ2012-79, IE2012-183, MVE2012-140, WIT2012-89 
Volume (vol) vol.112 
Number (no) no.472(IMQ), no.473(IE), no.474(MVE), no.475(WIT) 
Page pp.251-256 
#Pages
Date of Issue 2013-03-04 (IMQ, IE, MVE, WIT) 


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