Markerless Image Analysis of Runner Pose
碩士 === 國立中興大學 === 應用數學系所 === 104 === The Scale and Orientation Adaptive Mean Shift Tracking (SOAMST) algorithm is proposed in this paper to analyze markerless image of runners in order to measure an accepatable range of the central coordinates by tracking runners'' head and feet motion cha...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/33145535964243258001 |
| Summary: | 碩士 === 國立中興大學 === 應用數學系所 === 104 === The Scale and Orientation Adaptive Mean Shift Tracking (SOAMST) algorithm is proposed in this paper to analyze markerless image of runners in order to measure an accepatable range of the central coordinates by tracking runners'' head and feet motion change respectively. The purpose of this paper is to provide ordinary people referable data to avoid running injuries and enhance athletic performance. Besides, in this paper, slow-motion videos of two runners are compared and analyzed in the testing to offer suggestions for improvement.
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