Title: Intelligent recognition of foul action of track and field athletes based on Bouguet stereoscopic correction method

Authors: Hao Wu

Addresses: Sports Training Academy, Sports Training, Jilin Institute of Physical Education, Changchun, 130000, China

Abstract: This article proposes a new intelligent recognition method of foul action of track and field athletes based on Bouguet stereoscopic correction method, aiming to shorten recognition time and improve recognition accuracy. This method first utilises the principle of binocular vision to collect images of foul action by track and field athletes, and uses the Bouguet algorithm for image correction to eliminate distortion. Then, the background subtraction method is used to extract the characteristics of foul action by track and field athletes. Finally, the extracted features are input into a support vector machine for intelligent recognition. The experimental results show that the recognition time of this method in multiple data tests does not exceed 1.0 s, and the average recognition accuracy reaches 94.388%. This method provides an effective solution for quickly and accurately recognising foul action by track and field athletes.

Keywords: Bouguet stereoscopic correction method; track and field athletes; foul actions; intelligent recognition.

DOI: 10.1504/IJISTA.2025.151543

International Journal of Intelligent Systems Technologies and Applications, 2025 Vol.23 No.4, pp.429 - 442

Received: 03 Sep 2024
Accepted: 16 Nov 2024
Published online: 05 Feb 2026 *

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