Title: Study on a method for capturing basketball player's layup motion based on grey level co-occurrence matrix

Authors: Luojing Wang

Addresses: Shangqiu Polytechnic, Shangqiu, 476000, China

Abstract: In the process of basketball players' layup motion capture, the image blur leads to high layup motion capture error. Therefore, a basketball player layup motion capture method based on grey level co-occurrence matrix is proposed. The hue, saturation and brightness components of basketball player's layup action image are unified greyed, and the fuzzy information in the image is transformed into different greyscale information. The Pearson correlation coefficient is used to analyse the correlation between each component after greying, and the grey information of fuzzy image is filtered by establishing grey co-occurrence matrix. By analysing the change of positioning coordinates of basketball players' layup action in three-dimensional space, the core area of action capture is determined, and the key point position capture results are aggregated to realise the capture of basketball players' layup action. The results show that the accuracy of the proposed method can reach 97.14%.

Keywords: grey level co-occurrence matrix; motion capture; grey processing; Pearson correlation coefficient; blur image; positioning coordinates.

DOI: 10.1504/IJICT.2024.135315

International Journal of Information and Communication Technology, 2024 Vol.24 No.1, pp.60 - 71

Received: 24 Sep 2021
Accepted: 08 Dec 2021
Published online: 05 Dec 2023 *