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Paper Abstract and Keywords
Presentation 2024-03-21 14:25
Bunch of Tricks for Improving Shuttlecock Detection from Badminton Videos
Muhammad Abdul Haq (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU)
Abstract (in Japanese) (See Japanese page) 
(in English) Accurate identification of the shuttlecock is necessary for video analysis in badminton matches, but, it remains difficult to determine the small and rapidly moving shuttlecock from videos. In this study, we present multiple enhancements that can be integrated into the advanced shuttlecock identification algorithm, TrackNetV2. Our suggested techniques involve implementing residual networks, leaky ReLU activation functions, and post-addition batch normalization. These techniques are all derived from deep learning theory. The contribution of this work is to apply the well-known techniques to shuttlecock detection successfully, and this is the first attempt in shuttlecock detection literature. The results of our studies on a publicly available badminton dataset show that our proposed techniques significantly enhance the performance of TrackNetV2 in terms of precision, recall, F1 score, and accuracy. Specifically, the precision increases from 84.8% to 88.2%, recall improves from 81.8% to 83.1%, F1 score improves from 83.3% to 85.3%, and accuracy improves from 75.8% to 78.1%.
Keyword (in Japanese) (See Japanese page) 
(in English) Shuttlecock detection / Deep learning / Training tricks / / / / /  
Reference Info. ITE Tech. Rep., vol. 48, no. 14, SIP2024-4, pp. 8-11, March 2024.
Paper # SIP2024-4 
Date of Issue 2024-03-14 (SIP) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee SIP  
Conference Date 2024-03-21 - 2024-03-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Center for Computational Sciences, University of Tsukuba 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2024-03-SIP 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Bunch of Tricks for Improving Shuttlecock Detection from Badminton Videos 
Sub Title (in English)  
Keyword(1) Shuttlecock detection  
Keyword(2) Deep learning  
Keyword(3) Training tricks  
1st Author's Name Muhammad Abdul Haq  
1st Author's Affiliation Tokyo Metropolitan University (TMU)
2nd Author's Name Shuhei Tarashima  
2nd Author's Affiliation NTT Communications (NTT Com)
3rd Author's Name Norio Tagawa  
3rd Author's Affiliation Tokyo Metropolitan University (TMU)
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Speaker Author-1 
Date Time 2024-03-21 14:25:00 
Presentation Time 20 minutes 
Registration for SIP 
Paper # SIP2024-4 
Volume (vol) vol.48 
Number (no) no.14 
Page pp.8-11 
Date of Issue 2024-03-14 (SIP) 

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