| Summary: | 碩士 === 中原大學 === 資訊工程研究所 === 101 === With the development of multimedia technology, real-time analysis of sport videos can enhance the entertainment when people are watching sport videos. This study aims to develop a baseball trajectory tracking system using sport videos, which can automatically reproduce the baseball trajectory when a pitcher is throwing the baseball. Research methods include: (1) image preprocessing; (2) baseball detection; and (3) baseball trajectory tracking. Our system mainly uses image and video processing technology to extract baseball candidate regions in consecutive frames. Meanwhile, the baseball’s location is detected using position, size, color, and shape features. Finally, the Kalman filter is used for the baseball trajectory tracking. Preliminary results show that this method could achieve the average baseball detection rate of 82% and the average baseball trajectory tracking accuracy of 91%. In conclusion, this study presents an effective automated motion analysis system that could reproduce the baseball trajectory, further bringing viewers a richer game content.
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