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| Presentation | 2025-02-18 16:10 Research on Lightweight Models for Speeding up Human Pose Estimation Akihiro Mizuki, Kazuki Ikeda, Shoto Morishita, Qiu Chen (Kogakuin Univ.)  ITS2024-72 IE2024-64 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently, human pose estimation methods have attracted much attention and are being applied to various fields such as sports and surveillance systems. As one of the representative methods, HRNet achieves highly accurate pose estimation while maintaining high-resolution features, but it faces the challenge of high computational complexity, creating a demand for lightweight models suitable for mobile devices. In this paper, we further optimized the architecture of Lite-HRNet, a lightweight variant of HRNet designed for faster processing, and investigated a method that achieves both high accuracy and high speed. Experimental results show that the method reduces the computational load during inference and improves the processing speed, but challenges remain in maintaining accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Human Pose Estimation / Speed up / Lite-HRNet / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 124, no. 373, IE2024-64, pp. 118-122, Feb. 2025. | |
| Paper # | IE2024-64 | |
| Date of Issue | 2025-02-11 (ITS, IE) | |
| 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 | ITS2024-72 IE2024-64 |
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| Conference Information | |
| Committee | ITS IE ITE-MMS ITE-ME ITE-AIT ITE-SIP |
| Conference Date | 2025-02-18 - 2025-02-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2025-02-ITS-IE-MMS-ME-AIT-SIP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Research on Lightweight Models for Speeding up Human Pose Estimation |
| Sub Title (in English) | |
| Keyword(1) | Human Pose Estimation |
| Keyword(2) | Speed up |
| Keyword(3) | Lite-HRNet |
| Keyword(4) | |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Akihiro Mizuki |
| 1st Author's Affiliation | Kogakuin University (Kogakuin Univ.) |
| 2nd Author's Name | Kazuki Ikeda |
| 2nd Author's Affiliation | Kogakuin University (Kogakuin Univ.) |
| 3rd Author's Name | Shoto Morishita |
| 3rd Author's Affiliation | Kogakuin University (Kogakuin Univ.) |
| 4th Author's Name | Qiu Chen |
| 4th Author's Affiliation | Kogakuin University (Kogakuin Univ.) |
| Speaker | Author-1 |
| Date Time | 2025-02-18 16:10:00 |
| Presentation Time | 15 minutes |
| Registration for | IE |
| Paper # | ITS2024-72, IE2024-64 |
| Volume (vol) | vol.124 |
| Number (no) | no.372(ITS), no.373(IE) |
| Page | pp.118-122 |
| #Pages | 5 |
| Date of Issue | 2025-02-11 (ITS, IE) |
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