Application of Image Segmenting Technology Based on Fuzzy C-Means Algorithm in Competition Video Referee

As sports developing and popularizing, people have put forward increasing demands for fairness and transparency in competitions. However, traditional competition referee systems rely too heavily on human subjective judgment, which often leads to significant subjectivity and in-accuracy issues. To ov...

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Main Author: Xu Yan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10403895/
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author Xu Yan
author_facet Xu Yan
author_sort Xu Yan
collection DOAJ
description As sports developing and popularizing, people have put forward increasing demands for fairness and transparency in competitions. However, traditional competition referee systems rely too heavily on human subjective judgment, which often leads to significant subjectivity and in-accuracy issues. To overcome these difficulties, some improvements have been made on the basis of the fuzzy C-means algorithm to preserve more information, while also suppressing membership to improve the convergence speed of the algorithm. These results confirm that the accuracy of the model converged approximately in the 600th round, with an accuracy of 96.1%. Compared with the standard fuzzy C-means algorithm, the convergence speed has been improved by 33% and the accuracy has been improved by 2.1%. This experiment verifies the effectiveness and practicality of the video referee in this competition. This provides new ideas for the development of image segmenting technology and has certain application potential in sports competition refereeing, judicial notarization refereeing, and other fields.
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spelling doaj.art-8ea077e6970c464ea73ed01d8db2bab92024-03-26T17:47:25ZengIEEEIEEE Access2169-35362024-01-0112343783438910.1109/ACCESS.2024.335546510403895Application of Image Segmenting Technology Based on Fuzzy C-Means Algorithm in Competition Video RefereeXu Yan0https://orcid.org/0009-0001-2185-2056Physical Education Department, North China Electric Power University, Baoding, ChinaAs sports developing and popularizing, people have put forward increasing demands for fairness and transparency in competitions. However, traditional competition referee systems rely too heavily on human subjective judgment, which often leads to significant subjectivity and in-accuracy issues. To overcome these difficulties, some improvements have been made on the basis of the fuzzy C-means algorithm to preserve more information, while also suppressing membership to improve the convergence speed of the algorithm. These results confirm that the accuracy of the model converged approximately in the 600th round, with an accuracy of 96.1%. Compared with the standard fuzzy C-means algorithm, the convergence speed has been improved by 33% and the accuracy has been improved by 2.1%. This experiment verifies the effectiveness and practicality of the video referee in this competition. This provides new ideas for the development of image segmenting technology and has certain application potential in sports competition refereeing, judicial notarization refereeing, and other fields.https://ieeexplore.ieee.org/document/10403895/Fuzzy theoryC-means algorithmimage segmenting technologyvideo image recognitionvideo referee
spellingShingle Xu Yan
Application of Image Segmenting Technology Based on Fuzzy C-Means Algorithm in Competition Video Referee
IEEE Access
Fuzzy theory
C-means algorithm
image segmenting technology
video image recognition
video referee
title Application of Image Segmenting Technology Based on Fuzzy C-Means Algorithm in Competition Video Referee
title_full Application of Image Segmenting Technology Based on Fuzzy C-Means Algorithm in Competition Video Referee
title_fullStr Application of Image Segmenting Technology Based on Fuzzy C-Means Algorithm in Competition Video Referee
title_full_unstemmed Application of Image Segmenting Technology Based on Fuzzy C-Means Algorithm in Competition Video Referee
title_short Application of Image Segmenting Technology Based on Fuzzy C-Means Algorithm in Competition Video Referee
title_sort application of image segmenting technology based on fuzzy c means algorithm in competition video referee
topic Fuzzy theory
C-means algorithm
image segmenting technology
video image recognition
video referee
url https://ieeexplore.ieee.org/document/10403895/
work_keys_str_mv AT xuyan applicationofimagesegmentingtechnologybasedonfuzzycmeansalgorithmincompetitionvideoreferee