Paper Abstract and Keywords |
Presentation |
2019-11-14 15:10
Stroke Analysis for Badminton Game Based on TCN and Stroke Characteristics Yosuke Kinoshita, Hiroki Takahashi (UEC) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Although recording and publication of game videos in sports are progressing, analysis of game content is not fully automated. In particular, badminton is more difficult to automatically analyze matches than other sports due to variety of strokes and rapid and irregular game development. In this research, judge the stroke that causes the score in the badminton game videos. A player, who shot a service, and a final stroke are recognized by using TCN which learned nine kinds of strokes, prior knowledge of stroke characteristics and detected shuttle in a restricted region. As a result, service detection, final stroke classification and ace-error classification accuracy were 0.975, 0.506 and 0.451, respectively. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Badminton / Temporal Convolutional Network / Stroke Characteristics / Faster R-CNN / Action Recognition / / / |
Reference Info. |
ITE Tech. Rep., vol. 43, Nov. 2019. |
Paper # |
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Date of Issue |
2019-11-07 (ME) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
SIP ME |
Conference Date |
2019-11-14 - 2019-11-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Sojo University, Main Campus |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Sport Information Processing, Analysis, etc. |
Paper Information |
Registration To |
SIP |
Conference Code |
2019-11-SIP-ME |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Stroke Analysis for Badminton Game Based on TCN and Stroke Characteristics |
Sub Title (in English) |
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Keyword(1) |
Badminton |
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Temporal Convolutional Network |
Keyword(3) |
Stroke Characteristics |
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Faster R-CNN |
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Action Recognition |
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1st Author's Name |
Yosuke Kinoshita |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
2nd Author's Name |
Hiroki Takahashi |
2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
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Speaker |
Author-1 |
Date Time |
2019-11-14 15:10:00 |
Presentation Time |
25 minutes |
Registration for |
SIP |
Paper # |
ME2019-121 |
Volume (vol) |
vol.43 |
Number (no) |
no.39 |
Page |
pp.25-28 |
#Pages |
4 |
Date of Issue |
2019-11-07 (ME) |
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