Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17–18, 2017, Proceedings

Research Article

Research on Fast Recognition Algorithm of Golf Swing

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  • @INPROCEEDINGS{10.1007/978-3-319-73317-3_59,
        author={Qiao Tian and Jingmei Li and Fangyuan Zheng and Chao Lv},
        title={Research on Fast Recognition Algorithm of Golf Swing},
        proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings},
        proceedings_a={ADHIP},
        year={2018},
        month={2},
        keywords={Golf gesture recognition Video sequence Fraction sequence},
        doi={10.1007/978-3-319-73317-3_59}
    }
    
  • Qiao Tian
    Jingmei Li
    Fangyuan Zheng
    Chao Lv
    Year: 2018
    Research on Fast Recognition Algorithm of Golf Swing
    ADHIP
    Springer
    DOI: 10.1007/978-3-319-73317-3_59
Qiao Tian1, Jingmei Li1,*, Fangyuan Zheng1, Chao Lv1
  • 1: Harbin Engineering University
*Contact email: lijingmei@hrbeu.edu.cn

Abstract

Due to the target recognition algorithm has high time complexity, a fast recognition algorithm of golf gesture based on video sequence is proposed. Firstly, the detector locates the salient region of image, then the gesture detector scans the fraction sequence generated by the video and the sequence is taken as feature data, finally, the linear support vector machine does real-time judgment of the data, thus completing the fast recognition. The experiments show that the recognition speed is over 30 fps and the accuracy of 97% can be achieved on iPhone5s and later version, proving the validity in practical application.