| Paper Abstract and Keywords |
| Presentation |
2024-09-05 10:50
A Study of 3D Hand Pose Estimation from Videos Robust Against Environmental Changes Tomoki Wada, Koichi Ito, Takafumi Aoki (Tohoku Univ.) LOIS2024-22 IE2024-28 EMM2024-78 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
It is necessary to accurately acquire the hand motion of experts to support learning techniques for playing musical instruments, making handcrafts, and so on. When estimating hand pose from videos, it is crucial to be robust against environmental changes such as occlusion and illumination changes. In this paper, we propose a real-time 3D hand pose estimation method robust against environmental changes. We demonstrate the effectiveness of the proposed method through performance experiments using a public dataset. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
3D hand pose estimation / deep learning / robustness / real time / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 176, IE2024-28, pp. 58-63, Sept. 2024. |
| Paper # |
IE2024-28 |
| Date of Issue |
2024-08-28 (LOIS, IE, EMM) |
| 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) |
| Download PDF |
LOIS2024-22 IE2024-28 EMM2024-78 |
| Conference Information |
| Committee |
EMM ITE-ME IE LOIS IEE-CMN IPSJ-AVM |
| Conference Date |
2024-09-04 - 2024-09-05 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hiroshima Institute of Technology |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
IE |
| Conference Code |
2024-09-EMM-ME-IE-LOIS-CMN-AVM |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Study of 3D Hand Pose Estimation from Videos Robust Against Environmental Changes |
| Sub Title (in English) |
|
| Keyword(1) |
3D hand pose estimation |
| Keyword(2) |
deep learning |
| Keyword(3) |
robustness |
| Keyword(4) |
real time |
| Keyword(5) |
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| 1st Author's Name |
Tomoki Wada |
| 1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
| 2nd Author's Name |
Koichi Ito |
| 2nd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
| 3rd Author's Name |
Takafumi Aoki |
| 3rd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2024-09-05 10:50:00 |
| Presentation Time |
20 minutes |
| Registration for |
IE |
| Paper # |
LOIS2024-22, IE2024-28, EMM2024-78 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.175(LOIS), no.176(IE), no.177(EMM) |
| Page |
pp.58-63 |
| #Pages |
6 |
| Date of Issue |
2024-08-28 (LOIS, IE, EMM) |