Research on Fast Recognition Algorithm of Golf Swing

Qiao Tian; Jingmei Li; Fangyuan Zheng; Chao Lv

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.

Keywords: Golf gesture recognition Video sequence Fraction sequence

Published: 2018-02-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-73317-3_59