Visual Information Features and Machine Learning for Wushu Arts Tracking
August 2021 | Journal of Healthcare Engineering |
by Jing Li, Guangren Zhou
Abstract
Martial arts tracking is an important research topic in computer vision and artificial intelligence. It has extensive and vital applications in video monitoring, interactive animation and 3D simulation, motion capture, and advanced human-computer interaction. However, due to the change of martial arts’ body posture, clothing variability, and light mixing, the appearance changes significantly. As a result, accurate posture tracking becomes a complicated problem. A solution to this complicated problem is studied in this paper. The proposed solution improves the accuracy of martial arts tracking by the image representation method of martial arts tracking. This method is based on the second-generation strip wave transform and applies it to the video martial arts tracking based on the machine learning method.
Full text available: https://www.researchgate.net/publication/353955376_Visual_Information_Features_and_Machine_Learning_for_Wushu_Arts_Tracking
About the Authors:
Jing Li – Sports Center, Xi’an Jiaotong University, Shaanxi 710049, Xi’an, China
Guangren Zhou – School of Comprehensive Foundation, Wannan Medical College, Wuhu 241002, Anhui, China
