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Paper Abstract and Keywords
Presentation 2020-09-08 14:20
3D Human Pose Estimation for Omnidirectional Camera -- applying for sign-language recognition --
Teppei Miura, Shinji Sako (NIT) WIT2020-7
Abstract (in Japanese) (See Japanese page) 
(in English) Sign-language is the natural interactive visual language used by deaf people. Most hearing people, however, do not know sign-language. For the reason, they usually talk through writing or interpreters between hearing and deaf people. A portable sign-language recognition and translation system is necessary for interactive and direct communication in daily use. Sign-language is composed of some elements: handshapes, movements, positions, facial expressions, and peripheral information. We intend to propose a sign-language recognition system using a wearable omnidirectional camera for the input device, which is portable for daily use, and capable of obtaining enough elements for sign-language recognition. As a first step for the system, we research 3D human pose estimation methods for RGB images taken by the wearable omnidirectional camera in this paper. We apply a convolutional neural network (CNN) to estimate 3D poses. The model is evaluated on our dataset that we collect 3D poses and RGB equirectangular images by a wearable omnidirectional camera.
Keyword (in Japanese) (See Japanese page) 
(in English) 3D pose estimation / Omnidirectional camera / Wearable / Sign-language / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 161, WIT2020-7, pp. 9-14, Sept. 2020.
Paper # WIT2020-7 
Date of Issue 2020-09-01 (WIT) 
ISSN 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)
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Conference Information
Committee WIT  
Conference Date 2020-09-08 - 2020-09-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Well-being Information Technology, etc. 
Paper Information
Registration To WIT 
Conference Code 2020-09-WIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) 3D Human Pose Estimation for Omnidirectional Camera 
Sub Title (in English) applying for sign-language recognition 
Keyword(1) 3D pose estimation  
Keyword(2) Omnidirectional camera  
Keyword(3) Wearable  
Keyword(4) Sign-language  
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1st Author's Name Teppei Miura  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Shinji Sako  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2020-09-08 14:20:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # WIT2020-7 
Volume (vol) vol.120 
Number (no) no.161 
Page pp.9-14 
#Pages
Date of Issue 2020-09-01 (WIT) 


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