https://scholars.lib.ntu.edu.tw/handle/123456789/607201
標題: | Baseball Rotation Identification Algorithm Based on Seam Curvature Matching and Pixel Similarity | 作者: | Tsai C.-T JIAN-JIUN DING |
關鍵字: | Background subtraction;Curvature;Ridge detection;Seam matching;Sport video;Pixels;Rotation rate;Identification algorithms;Matchings;Pixel similarities;Ridge detections;Rotation angles;Seam curvature;Baseball | 公開日期: | 2021 | 來源出版物: | ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding | 摘要: | In this paper, an automatic algorithm for baseball rotation analysis. To analyze the rotation angle of a baseball, the seam feature and its curvature play very important roles. Therefore, after performing background removal and denoising, we first adopt ridge detection to extract the seam on the baseball. Then, the curvature is calculated. According to the pixel-wise curvature information, one can determine the ration angle based on template sifting and matching. With the proposed algorithm, the rotation angle of the baseball can be determined accurately. It is helpful for determining the rotation rate of the baseball and beneficial for automatic sport video analysis. ? 2021 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124154538&doi=10.1109%2fISPACS51563.2021.9651060&partnerID=40&md5=b6c948da9d09a8297ebacd2354e50f12 https://scholars.lib.ntu.edu.tw/handle/123456789/607201 |
DOI: | 10.1109/ISPACS51563.2021.9651060 |
顯示於: | 電機工程學系 |
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