| 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 |
| Download PDF |
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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) |
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| 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) |
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| Keyword(1) |
Shuttlecock detection |
| Keyword(2) |
Deep learning |
| Keyword(3) |
Training tricks |
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| 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 |
| #Pages |
4 |
| Date of Issue |
2024-03-14 (SIP) |
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