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Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1–3, 2021, Proceedings, Part II

Research Article

Research on the Image Tracking of Tennis Rotation Features Under Big Data Analysis

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  • @INPROCEEDINGS{10.1007/978-3-030-87903-7_21,
        author={Yanlou Sun},
        title={Research on the Image Tracking of Tennis Rotation Features Under Big Data Analysis},
        proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1--3, 2021, Proceedings, Part II},
        proceedings_a={BIGIOT-EDU PT2},
        year={2021},
        month={10},
        keywords={Tennis rotation feature Image tracking Gate tracking algorithm Holographic projection Data processing},
        doi={10.1007/978-3-030-87903-7_21}
    }
    
  • Yanlou Sun
    Year: 2021
    Research on the Image Tracking of Tennis Rotation Features Under Big Data Analysis
    BIGIOT-EDU PT2
    Springer
    DOI: 10.1007/978-3-030-87903-7_21
Yanlou Sun1
  • 1: Sanya Aviation and Tourism College

Abstract

Aiming at the problem of large error in tracking image data analysis in traditional image tracking system of tennis rotation feature, an image tracking analysis system of tennis rotation feature is proposed. The data are processed by holographic projection, the average constant of motion angle is optimized, the gate tracking algorithm is introduced to track the national standard of the image, and the threshold is calculated to realize the image tracking of tennis rotation feature. The experimental data show that the designed method can effectively track and analyze the tennis image, and solve the problem of large error in image data analysis.

Keywords
Tennis rotation feature Image tracking Gate tracking algorithm Holographic projection Data processing
Published
2021-10-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-87903-7_21
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