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Paper Abstract and Keywords
Presentation 2022-03-08 13:04
Study on Scene Extraction Method from Table Tennis Video based on Body Movements
Ryosuke Ishikawa, Kohjiro Hashimoto, Tadashi Miyosawa (Suwa Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this research, we propose a scene extraction method focusing on table tennis competition. Table tennis players set up their fixed camera and shoot their own games. The video taken is used for reviewing own play later, but it has been reported that the time spent playing competitions such as rallies is 20% of the match time. Therefore, the work of reviewing the entire video is not efficient. In this research, we propose a method to extract only the scenes that the user wants to look back from the video. Here, it is assumed that the features of the scenes which should be extracted are body movements. And the scene extraction problem is solved by using a matching method of skeletal time series data based on a hidden Markov model.
Keyword (in Japanese) (See Japanese page) 
(in English) Sports analytics / Scene Extraction / Hidden Markov Model / / / / /  
Reference Info. ITE Tech. Rep., vol. 46, no. 10, AIT2022-76, pp. 147-148, March 2022.
Paper # AIT2022-76 
Date of Issue 2022-03-01 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee AIT IIEEJ AS CG-ARTS  
Conference Date 2022-03-08 - 2022-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2022 
Paper Information
Registration To AIT 
Conference Code 2022-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Scene Extraction Method from Table Tennis Video based on Body Movements 
Sub Title (in English)  
Keyword(1) Sports analytics  
Keyword(2) Scene Extraction  
Keyword(3) Hidden Markov Model  
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1st Author's Name Ryosuke Ishikawa  
1st Author's Affiliation Suwa University of Science (Suwa Univ.)
2nd Author's Name Kohjiro Hashimoto  
2nd Author's Affiliation Suwa University of Science (Suwa Univ.)
3rd Author's Name Tadashi Miyosawa  
3rd Author's Affiliation Suwa University of Science (Suwa Univ.)
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Speaker Author-1 
Date Time 2022-03-08 13:04:00 
Presentation Time 12 minutes 
Registration for AIT 
Paper # AIT2022-76 
Volume (vol) vol.46 
Number (no) no.10 
Page pp.147-148 
#Pages
Date of Issue 2022-03-01 (AIT) 


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