Research on badminton path tracking algorithm based on machine vision

ShengAi Ye; Li Huang; Na Chen

doi:10.1117/12.3011835

7 December 2023 Research on badminton path tracking algorithm based on machine vision

ShengAi Ye, Li Huang, Na Chen

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129413E (2023) https://doi.org/10.1117/12.3011835
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

Badminton is a sport for young and old alike. To capture the dynamic path of badminton quickly and accurately, a badminton robot needs to be designed for real-time dynamic tracking of badminton moving at high speed. In this paper, we analyze the effects of aerodynamic forces and gravity on badminton flight in the air. The main factors affecting the flight trajectory of badminton are analyzed using experiments. The badminton flight trajectory captured by a high-speed camera is used to establish a steady-state flight model as well as a spin model for badminton. In the process of badminton trajectory prediction, because there are model errors as well as measurement errors, particle filtering is an inference model based on Monte Carlo sampling, which does not require a priori information of state transfer and is more conducive to badminton state estimation. Therefore, in this paper, particle filtering is chosen to track the path of badminton. After experimental verification, the algorithm can track the motion path of badminton very well.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

ShengAi Ye, Li Huang, and Na Chen "Research on badminton path tracking algorithm based on machine vision", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129413E (7 December 2023); https://doi.org/10.1117/12.3011835

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