Title: A recognition method for visual image of sports video based on fuzzy clustering algorithm

Authors: Rongai Sun

Addresses: Department of Physical Education, Wuyi University, Wuyishan, Fujian, 354300, China

Abstract: In order to overcome the problem of poor recognition accuracy of action visual image, a method of sports video action visual image recognition based on fuzzy clustering algorithm is proposed. This method uses the fuzzy clustering algorithm to segment the action visual image of sports video, which is divided into foreground and background. In the image foreground, the edge contour of the object is cut through the edge detection step, and the action representation feature quantity extraction method based on the joint point is used to extract the action feature of the human joint point in the foreground, so as to complete the action visual image recognition of sports video. The experimental results show that the segmentation accuracy is high, the noise iteration performance is good, and the recognition accuracy is higher than 0.96, which can achieve high-precision recognition of sports video action image.

Keywords: fuzzy clustering algorithm; sports video; visual image; recognition.

DOI: 10.1504/IJICT.2022.119311

International Journal of Information and Communication Technology, 2022 Vol.20 No.1, pp.1 - 17

Received: 26 Mar 2020
Accepted: 11 May 2020
Published online: 01 Dec 2021 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article