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 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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WIT2020-7 |
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 |
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Omnidirectional camera |
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Wearable |
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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 |
6 |
Date of Issue |
2020-09-01 (WIT) |
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