書誌事項
- タイトル別名
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- Research on Removing Shadow of Field Sport Players Using GAN
抄録
<p>In recent years, the utilization of ICT for field sports has been promoted in Japan. And then, a lot of researches have been conducted on tactical analysis using positions and trajectories of players obtained from play video data. However, in many of them, an area of an athlete may be misidentified as area containing shadow or area of only shadow, which leads to a problem of acquiring accurate positions of athletes. Therefore, in this research, a method to remove the shadows of players from soccer play videos by using pix2pix, a type of GAN, to generate shadow-free videos is proposed and implemented. As a result, it was verified through experiments that the shadows of athletes could be removed accurately. Furthermore, the effectiveness of the proposed method was also confirmed by tracking accuracy comparison of an existing person tracking method with and without shadow removal.</p>
収録刊行物
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- 写真測量とリモートセンシング
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写真測量とリモートセンシング 61 (4), 241-255, 2022
一般社団法人 日本写真測量学会
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詳細情報 詳細情報について
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- CRID
- 1390860255282877568
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- ISSN
- 18839061
- 02855844
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可