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A football training method based on improved tiny-yolov3 and virtual reality

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Abstract

The traditional way of football training could be subject to some factors such as the field, and the problems and scenes in the training can not be recovered fully. Thus, this paper proposes a football training method based on the improved tiny-yolovs3 model and the virtual reality (VR). Firstly, the paper makes use of the improved tiny-yolov3 model to detect the football in motion. Then, the paper uses the binocular camera to get the coordinates of the football. Finally, the paper reproduces the position of football in the virtual reality environment. The experimental results show that the football training method is feasible.

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Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China

    Dong Xiao, Jinbo Niu & Jian Feng

  2. Liaoning Key Laboratory of Intelligent Diagnosis and Safety for Metallurgical Industry, Northeastern University, Shenyang, 110819, China

    Dong Xiao

Authors
  1. Dong Xiao
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  2. Jinbo Niu
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  3. Jian Feng
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Correspondence to Dong Xiao.

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Xiao, D., Niu, J. & Feng, J. A football training method based on improved tiny-yolov3 and virtual reality. Multimed Tools Appl 81, 14283–14301 (2022). https://doi.org/10.1007/s11042-022-12404-2

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  • DOI: https://doi.org/10.1007/s11042-022-12404-2

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