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Basketball Flight Trajectory Tracking using Video Signal Filtering

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Abstract

During a basketball game, the ball moves are dynamic, and it is very hard for athletes and trainers to track every move of the ball. An accurate image tracking of a basketball flight path provides the basis for basketball training and other applications. The flight trajectory tracking method based on video signal filtering is studied in this paper. Specifically, the adaptive median filtering algorithm is used to filter the basketball flight video signal. After applying median filtering, the image difference is selected to enhance the basketball trajectory flight images, followed by the Harris corner detection algorithm enhancing the images. Moreover, the SURF algorithm is used to extract features of basketball targets according to the detection results of corner points in the images. Finally, the Particle Swarm Optimization algorithm optimizes the basketball flight trajectory tracking results obtained through the Kalman filter algorithm. The experimental results show that the proposed method can accurately track the flight path of basketball, the real rate is 97%, and the maximum difference between the number of frames and the actual result is 1 frame. The position error and the end position error of the tracking result are both less than 5 cm, which is suitable for basketball training and other practical applications.

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Authors and Affiliations

  1. School of Public Teaching and Practice, Wuhang Technical College of Communication, Wuhan, 430015, China

    Botao Zhang

  2. School of Physical Education, Huazhong University of Science and Technology, Wuhan, 430071, China

    Yiheng Zhang

  3. Department of Information Systems, College of Computer and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia

    Bandar Alshawi

  4. Department of Information Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia

    Ryan Alturki

Authors
  1. Botao Zhang
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  2. Yiheng Zhang
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  3. Bandar Alshawi
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  4. Ryan Alturki
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Contributions

Botao Zhang wrote the main manuscript text, Yiheng Zhang and Bandar Alshawi constructed a model and analyzed experimental results, and Ryan Alturki guided and reviewed the whole paper. All authors reviewed the manuscript.

Corresponding author

Correspondence to Ryan Alturki.

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Zhang, B., Zhang, Y., Alshawi, B. et al. Basketball Flight Trajectory Tracking using Video Signal Filtering. Mobile Netw Appl 28, 1699–1711 (2023). https://doi.org/10.1007/s11036-023-02253-0

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  • DOI: https://doi.org/10.1007/s11036-023-02253-0

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