Paper Abstract and Keywords |
Presentation |
2022-01-21 09:30
[Short Paper]
A Preliminary Study on Video-based Action Recognition in Wheelchair Basketball Considering Player Positions Ryosuke Hasegawa, Akira Uchiyama (Osaka Univ.), Teruo Higashino (Kyoto Tachibana Univ.) SeMI2021-73 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In sports, action recognition is important for analyzing athlete performance. However, the method of attaching the inertial sensor directly to an athlete is not preferred due to the human cost of management and the bad feelings of attaching sensors. Therefore, we propose an action recognition method using video for wheelchair basketball. We consider that when taking an action, a player's judge is affected by the position in the court, and propose an action recognition method that takes into account players' positions. In our method, we use Slowfast model to capture human centric movements (gesture) and extract the players' position characteristics which are court centric movements by localization. For evaluation, we compared our method with the Slowfast-only model. As a result, our method using location information achieved better accuracy than the Slowfast-only model in all four types of classifiers. Using the configs that achieved the best accuracy, the accuracy reached 78.7%, which was 9.6 points higher than the best accuracy using the Slowfast-only model. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Action Recognition / Human Detection / Human Tracking / Localization / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 333, SeMI2021-73, pp. 80-85, Jan. 2022. |
Paper # |
SeMI2021-73 |
Date of Issue |
2022-01-13 (SeMI) |
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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SeMI2021-73 |
Conference Information |
Committee |
SeMI |
Conference Date |
2022-01-20 - 2022-01-21 |
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(See Japanese page) |
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Paper Information |
Registration To |
SeMI |
Conference Code |
2022-01-SeMI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Preliminary Study on Video-based Action Recognition in Wheelchair Basketball Considering Player Positions |
Sub Title (in English) |
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Keyword(1) |
Action Recognition |
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Human Detection |
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Human Tracking |
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Localization |
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1st Author's Name |
Ryosuke Hasegawa |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Akira Uchiyama |
2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
3rd Author's Name |
Teruo Higashino |
3rd Author's Affiliation |
Kyoto Tachibana University (Kyoto Tachibana Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-01-21 09:30:00 |
Presentation Time |
10 minutes |
Registration for |
SeMI |
Paper # |
SeMI2021-73 |
Volume (vol) |
vol.121 |
Number (no) |
no.333 |
Page |
pp.80-85 |
#Pages |
6 |
Date of Issue |
2022-01-13 (SeMI) |
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