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학술대회 A Study on Sports Player Tracking based on Video using Deep Learning
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저자
이정수, 문성원, 남도원, 이지원, 오아름, 유원영
발행일
202010
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1161-1163
DOI
https://dx.doi.org/10.1109/ICTC49870.2020.9289223
협약과제
20IH2700, 수출형 스포츠 데이터 수집 및 서비스 플랫폼 개발, 남도원
초록
Tracking the players in the game is essential for the correct evaluation of the players. In order to obtain evaluation indicators for players, such as the moving distance and average speed during a game, it is necessary to continuously track the location and trajectory of the player. The players' movement and events' analysis in the games are mainly recorded by professional analysts. To compensate for this, some sports fields use image processing tools for player tracking and event analysis. In this paper, we study the method that shows excellent performance in the detection and tracking objects recently using deep learning, and discuss how to apply it to sports field.
키워드
deep learning, detection and tracking, Tracking the players
KSP 제안 키워드
Average speed, Detection and tracking, Event Analysis, Image processing, Moving distance, Player Tracking, Processing tool, Tracking object, deep learning(DL), deep learning tracking, evaluation indicators