Paper Abstract and Keywords |
Presentation |
2023-10-27 16:40
Pose Estimation for Human Wearing Loose-Fitting Clothes
-- Creation of Training Data Using HFR Camera and Multiple LEDs -- Takayoshi Yamaguchi, Dan Mikami (Kogakuin Univ.), Seiji Matsumura, Naoki Saijo, Makio Kashino (NTT) MVE2023-32 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The analysis of human movements using Pose Estimation techniques is becoming more and more popular. We aim at Pose Estimation for snowboard big air athletes. In this competition, athletes wear loose-fitting clothing. In this situation, it has not yet been verified whether existing human Pose Estimation techniques can provide accurate Pose Estimation or not. One of the reasons for this is that the joint positions are unknown. When clothing is tightly fitted to the body, it is relatively easy for a human to visually confirm joint positions. However, in the case of loose-fitting clothing, the relationship between the shape of the clothing and the joint positions can change due to the swaying of the clothing. Therefore, this study proposes a method for acquiring joint positions in loose-fitting clothing. The proposed method uses a high frame rate camera and a fast blinking LED. Using the proposed method, we clarify the accuracy of joint estimation in existing Pose Estimation techniques, and verify the feasibility of using the data acquired by the proposed method as training data. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Pose Estimation / Training Data / LED / High Frame Rate Camera / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 228, MVE2023-32, pp. 58-63, Oct. 2023. |
Paper # |
MVE2023-32 |
Date of Issue |
2023-10-19 (MVE) |
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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MVE2023-32 |
Conference Information |
Committee |
MVE VRSJ-SIG-MR IPSJ-EC HI-SIG-DeMO VRSJ-SIG-CS |
Conference Date |
2023-10-26 - 2023-10-27 |
Place (in Japanese) |
(See Japanese page) |
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Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
MVE |
Conference Code |
2023-10-MVE-SIG-MR-EC-SIG-DeMO-SIG-CS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Pose Estimation for Human Wearing Loose-Fitting Clothes |
Sub Title (in English) |
Creation of Training Data Using HFR Camera and Multiple LEDs |
Keyword(1) |
Pose Estimation |
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Training Data |
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LED |
Keyword(4) |
High Frame Rate Camera |
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1st Author's Name |
Takayoshi Yamaguchi |
1st Author's Affiliation |
Kogakuin University (Kogakuin Univ.) |
2nd Author's Name |
Dan Mikami |
2nd Author's Affiliation |
Kogakuin University (Kogakuin Univ.) |
3rd Author's Name |
Seiji Matsumura |
3rd Author's Affiliation |
Nippon Telegraph and Telephone (NTT) |
4th Author's Name |
Naoki Saijo |
4th Author's Affiliation |
Nippon Telegraph and Telephone (NTT) |
5th Author's Name |
Makio Kashino |
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Nippon Telegraph and Telephone (NTT) |
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Speaker |
Author-1 |
Date Time |
2023-10-27 16:40:00 |
Presentation Time |
20 minutes |
Registration for |
MVE |
Paper # |
MVE2023-32 |
Volume (vol) |
vol.123 |
Number (no) |
no.228 |
Page |
pp.58-63 |
#Pages |
6 |
Date of Issue |
2023-10-19 (MVE) |
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