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| Presentation | 2021-03-04 14:25 Leveraging Human Pose Estimation Model for Sports Video Classification Soichiro Sato, Masaki Aono (TUT)  PRMU2020-76 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose a motion classification method of sports videos based on a posture estimation model.Specifically, we introduced features to estimate the coordinates of 17 types of human skeletons, representing the transition of the estimated coordinates, which in turn were generated by PoseNet. In addition to this, we cropped the video frames based on the estimated coordinates of the skeleton were used as input to several DNN models that extended the conventional models. The proposed method for motion classification based on this posture estimation model was applied to the data provided by the MediaEval2020 Sports Video Classification task. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Video Action Recognition / Human Pose Estimation / Deep Learning / 3D CNN / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 409, PRMU2020-76, pp. 41-46, March 2021. | |
| Paper # | PRMU2020-76 | |
| Date of Issue | 2021-02-25 (PRMU) | |
| 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 | PRMU2020-76 |
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| Conference Information | |
| Committee | PRMU IPSJ-CVIM |
| Conference Date | 2021-03-04 - 2021-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Computer Vision and Pattern Recognition for specific environment |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2021-03-PRMU-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Leveraging Human Pose Estimation Model for Sports Video Classification |
| Sub Title (in English) | |
| Keyword(1) | Video Action Recognition |
| Keyword(2) | Human Pose Estimation |
| Keyword(3) | Deep Learning |
| Keyword(4) | 3D CNN |
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| 1st Author's Name | Soichiro Sato |
| 1st Author's Affiliation | Toyohashi University of Technology (TUT) |
| 2nd Author's Name | Masaki Aono |
| 2nd Author's Affiliation | Toyohashi University of Technology (TUT) |
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| Speaker | Author-1 |
| Date Time | 2021-03-04 14:25:00 |
| Presentation Time | 15 minutes |
| Registration for | PRMU |
| Paper # | PRMU2020-76 |
| Volume (vol) | vol.120 |
| Number (no) | no.409 |
| Page | pp.41-46 |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (PRMU) |
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