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A Study on Sports Player Tracking based on Video using Deep Learning
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- Authors
- JungSoo Lee, Sungwon Moon, Do-Won Nam, Jiwon Lee, Ah Reum Oh, Wonyoung Yoo
- Issue Date
- 2020-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1161-1163
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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 Keywords
- Average speed, Detection and tracking, Evaluation indicators, Image processing(IP), Moving distance, Player Tracking, Processing tools, Tracking objects, deep learning(DL), deep learning tracking, event analysis