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Improved Cam Shift Algorithm for Detecting Athletes' Action Targets in Sports Videos

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  • Yi Yuan
  • Man Fai Leung

Abstract

The detection and tracking of athletes in sports videos is of great importance, as it helps to automate the analysis of sports videos, thus providing advanced tools and instruments for sports training. The Cam Shift algorithm uses the colour information of objects to achieve tracking of moving targets, so it is very important to choose a suitable colour space when obtaining the colour information of objects. To this end, this paper improves the Cam Shift algorithm by converting the visual system mechanism to perceive the colour characteristics of the image processing, i.e., converting the video image from the RGB colour space to the HSV colour space, using the H (hue) component to model the target object. Experiments show that the improved athlete detection and tracking algorithm is more robust in practical applications. The improved tracking algorithm also has better real-time performance, with a processing speed of 20 fps during the experiments.

Suggested Citation

  • Yi Yuan & Man Fai Leung, 2022. "Improved Cam Shift Algorithm for Detecting Athletes' Action Targets in Sports Videos," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-7, April.
    • Handle: RePEc:hin:jnlmpe:9401001
    DOI: 10.1155/2022/9401001
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