Research on human behaviour recognition method of sports images based on machine learning

被引：1
|
作者：
Liu, Baojun [1 ]
Wang, Zimin [2 ]
机构：
[1] Guilin Univ Elect Technol, Dept Phys Educ, Guilin 541004, Peoples R China
[2] Guilin Univ Elect Technol, Sch Comp Sci & Informat Secur, Guilin 541004, Peoples R China
来源：
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION | 2024年 / 23卷 / 02期
关键词：
sports; elimination of image shadows; extraction of key bone points; machine learning; support vector machine; SVM;
D O I：
10.1504/IJBIC.2024.136728
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to improve the efficiency of human behaviour recognition in sports images, a human behaviour recognition method based on machine learning is proposed. The adaptive mechanism is used to improve the ViBe algorithm to eliminate shadows, the dense structure is utilised to improve OpenPose to extract key bone points of the human body, and the support vector machine (SVM) classifier is adopted to perform human behaviour recognition, which realises the human behaviour recognition of sports images. The simulation results show that the proposed method can accurately recognise human behaviour in sports images, and the average recognition accuracy reaches 87.5%.
引用
收藏
页码：99 / 110
页数：13
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