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Paper Abstract and Keywords
Presentation 2020-03-06 09:45
Pose-based Shot Detection in a Badminton Doubles Competition Video
Satoru Yamagishi, Yoshiteru Yamamoto, Keisuke Doman, Yoshito Mekada (Chukyo Univ.) IMQ2019-54 IE2019-136 MVE2019-75
Abstract (in Japanese) (See Japanese page) 
(in English) The movement in formation of players is a key factor to score a point in badminton doubles competition.
It is, however, difficult to find the problem on the movement of each player due to the complexity of the doubles rally strategy.
This research proposes a method for shot detection from competition videos toward a support system for coaching players for improving the rally strategy.
The proposed method solves the problem on shot detection from a competition video by solving the shortest path problem based on the shot likelihoods for players.
In more details, the proposed method detects and tracks the keypoints of each player in an input video, and then calculates the shot likelihood for each player in each video frame.
Based on the shot likelihoods, the global optimal solution, i.e. pairs of a shot timing (video frame) and a player are selected within a path problem under the constraints on the rules of badminton.
We conducted evaluation experiments with 19 doubles competition videos including 6,990 shots, and then confirmed that the F-measures of the proposed method were 0.892 in re-substitution validation, and 0.408 in leave-one-out validation, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) Badminton Doubles Competition / rally strategy coaching / shot detection / shortest path problem / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 457, MVE2019-75, pp. 199-203, March 2020.
Paper # MVE2019-75 
Date of Issue 2020-02-27 (IMQ, IE, MVE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 IMQ2019-54 IE2019-136 MVE2019-75

Conference Information
Committee IE IMQ MVE CQ  
Conference Date 2020-03-05 - 2020-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2020-03-IE-IMQ-MVE-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Pose-based Shot Detection in a Badminton Doubles Competition Video 
Sub Title (in English)  
Keyword(1) Badminton Doubles Competition  
Keyword(2) rally strategy coaching  
Keyword(3) shot detection  
Keyword(4) shortest path problem  
1st Author's Name Satoru Yamagishi  
1st Author's Affiliation Chukyo University (Chukyo Univ.)
2nd Author's Name Yoshiteru Yamamoto  
2nd Author's Affiliation Chukyo University (Chukyo Univ.)
3rd Author's Name Keisuke Doman  
3rd Author's Affiliation Chukyo University (Chukyo Univ.)
4th Author's Name Yoshito Mekada  
4th Author's Affiliation Chukyo University (Chukyo Univ.)
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Speaker Author-1 
Date Time 2020-03-06 09:45:00 
Presentation Time 25 minutes 
Registration for MVE 
Paper # IMQ2019-54, IE2019-136, MVE2019-75 
Volume (vol) vol.119 
Number (no) no.454(IMQ), no.456(IE), no.457(MVE) 
Page pp.199-203 
Date of Issue 2020-02-27 (IMQ, IE, MVE) 

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