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Paper Abstract and Keywords
Presentation 2010-01-21 15:50
Estimation of HMM Topology Reflecting Various Motions for Sign Language Recognition
Tadashi Matsuo, Yoshiaki Shirai (Ritsumeikan Univ.) CQ2009-80 PRMU2009-179 SP2009-120 MVE2009-102
Abstract (in Japanese) (See Japanese page) 
(in English) Sign language is used for communicating to people with hearing difficulties. Recognition of a sign language image sequence is difficult due to the variety of hand shapes and hand motions.
The previous method for sign language recognition used Hidden Markov Models(HMMs), but the models have a fixed topology that cannot represent various motions for each word. We propose a method to construct a Hidden Markov Model(HMM) that has branches and junctions to represent a structure which is different for each word. The proposed method consists of segmentation of a motion, and construction of the topology from segments. The topology is constructed from an initial topology by modifying it. With experiments, we show the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) sign language recognition / HMM / topology estimation / video processing / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 374, PRMU2009-179, pp. 161-166, Jan. 2010.
Paper # PRMU2009-179 
Date of Issue 2010-01-14 (CQ, PRMU, SP, MVE) 
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)
Download PDF CQ2009-80 PRMU2009-179 SP2009-120 MVE2009-102

Conference Information
Committee PRMU SP MVE CQ  
Conference Date 2010-01-21 - 2010-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2010-01-PRMU-SP-MVE-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of HMM Topology Reflecting Various Motions for Sign Language Recognition 
Sub Title (in English)  
Keyword(1) sign language recognition  
Keyword(2) HMM  
Keyword(3) topology estimation  
Keyword(4) video processing  
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1st Author's Name Tadashi Matsuo  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Yoshiaki Shirai  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2010-01-21 15:50:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # CQ2009-80, PRMU2009-179, SP2009-120, MVE2009-102 
Volume (vol) vol.109 
Number (no) no.373(CQ), no.374(PRMU), no.375(SP), no.376(MVE) 
Page pp.161-166 
#Pages 6 
Date of Issue 2010-01-14 (CQ, PRMU, SP, MVE) 

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