Title: Basketball trajectory tracking based on machine vision image

Authors: Tao Liu; Qinhong He

Addresses: Sports Department, Haojing College of Shaanxi, University of Science and Technology, Xi'an, 712046, Shaanxi, China ' Sports Department, Haojing College of Shaanxi, University of Science and Technology, Xi'an, 712046, Shaanxi, China

Abstract: Based on the existing experience, this paper made a comparative study of the two existing basketball track tracking methods and technologies, which were background difference method and frame difference method. Two methods were used to compare the same group of video images. The corresponding data were obtained according to the calculation methods of the two methods, and the two groups of data were compared and analysed to show the advantages and disadvantages of the two methods. According to the data comparison of the above two methods, the background difference method had fast calculation speed and high real-time efficiency. The corresponding conclusion was drawn that when high-speed objects needed to be tracked in real-time, the background difference method could be used. When it was not necessary to track the moving track of the target in real-time, the frame difference method could be used to track the moving track.

Keywords: basketball trajectory tracking; machine vision image; Kalman filtering; image recognition.

DOI: 10.1504/IJCSYSE.2026.151345

International Journal of Computational Systems Engineering, 2026 Vol.10 No.1/2/3/4, pp.174 - 181

Received: 28 Oct 2023
Accepted: 30 Nov 2023
Published online: 26 Jan 2026 *

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