Paper Abstract and Keywords |
Presentation |
2022-03-09 10:10
A study on player and ball tracking in tennis videos. Kosuke Matsumoto (Kobe univ.), Junki Tamae (iret), Nobutaka Kuroki (Kobe univ.), Kensuke Hirano (iret), Masahiro Numa (Kobe univ.) IMQ2021-16 IE2021-78 MVE2021-45 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper proposes a player and ball tracking method in tennis videos with image processing techniques. The proposed method detects four corners of the tennis court using Hough-transform, and players and a ball using YOLOv4, which is one of Convolutional Neural Networks(CNNs). The bound position and hitting point are detected by using the changes in the velocity vectors of the ball. Then, these coordinates are converted with a perspective transformation and displayed to users. In the experiment, the detection accuracies of the players and the ball have reached 0.99 and 0.84 in terms of the recall ratio, respectively. For the bound position and the hitting point, the recall ratio and the distance error on the tennis court were 0.60 and about 1.2 [m], respectively. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Convolutional neural networks / Hough transform / Perspective transformation / Spline interpolation / Spline interpolation, Deep learning / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 423, MVE2021-45, pp. 33-38, March 2022. |
Paper # |
MVE2021-45 |
Date of Issue |
2022-03-02 (IMQ, IE, 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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IMQ2021-16 IE2021-78 MVE2021-45 |
Conference Information |
Committee |
CQ IMQ MVE IE |
Conference Date |
2022-03-09 - 2022-03-11 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online (Zoom) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc |
Paper Information |
Registration To |
MVE |
Conference Code |
2022-03-CQ-IMQ-MVE-IE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A study on player and ball tracking in tennis videos. |
Sub Title (in English) |
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Keyword(1) |
Convolutional neural networks |
Keyword(2) |
Hough transform |
Keyword(3) |
Perspective transformation |
Keyword(4) |
Spline interpolation |
Keyword(5) |
Spline interpolation, Deep learning |
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1st Author's Name |
Kosuke Matsumoto |
1st Author's Affiliation |
Kobe University (Kobe univ.) |
2nd Author's Name |
Junki Tamae |
2nd Author's Affiliation |
iret (iret) |
3rd Author's Name |
Nobutaka Kuroki |
3rd Author's Affiliation |
Kobe University (Kobe univ.) |
4th Author's Name |
Kensuke Hirano |
4th Author's Affiliation |
iret (iret) |
5th Author's Name |
Masahiro Numa |
5th Author's Affiliation |
Kobe University (Kobe univ.) |
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Speaker |
Author-1 |
Date Time |
2022-03-09 10:10:00 |
Presentation Time |
25 minutes |
Registration for |
MVE |
Paper # |
IMQ2021-16, IE2021-78, MVE2021-45 |
Volume (vol) |
vol.121 |
Number (no) |
no.420(IMQ), no.422(IE), no.423(MVE) |
Page |
pp.33-38 |
#Pages |
6 |
Date of Issue |
2022-03-02 (IMQ, IE, MVE) |
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