상세정보
학술대회
A Study on Sports Player Tracking based on Video using Deep Learning
- 발행일
- 202010
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1161-1163
- 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.
- KSP 제안 키워드
- Average speed, Detection and tracking, Event Analysis, Image processing, Moving distance, Player Tracking, Processing tool, Tracking objects, deep learning(DL), deep learning tracking, evaluation indicators