With the improvement of the level of sports competition technology, pure sports game broadcasting can no longer meet the requirements of various users. Users urgently need new technologies to meet the needs of quickly obtaining game information. The 5G Internet of Things is rapidly rising; volleyball is also gradually into people’s life. To solve the above problems, the research on the volleyball video moving target tracking and detection algorithm based on 5G Internet of Things communication and artificial intelligence becomes very important. This article is aimed at comparing the tracking and detection algorithms of volleyball video moving targets through 5G Internet of Things communication and artificial intelligence. In the process of detecting moving targets, several commonly used background detection methods are comprehensively compared and analyzed, and a method based on adaptive background difference is proposed. The algorithm uses Gaussian mixture model for background modeling, uses the OTSU threshold algorithm to determine the segmentation threshold T , and proposes a background update method that combines the expected full statistics and the L -close window to accelerate the background update speed, so that a more accurate sports prospect target. Experimental results show that the algorithm can detect and track moving targets in volleyball videos well in a fixed scene or when moving targets are not blocked, with a detection accuracy of more than 92%.
The purpose of this paper is to study the temperature characteristics of acupoints in sports training adapted to wireless communication thermal imaging. As the development of sports tends to be mature, the amount of training for athletes has also increased, and it is for this reason that the physical load of athletes is getting heavier and heavier. Traditional Chinese medicine pays attention to the theory of acupoints, which is the inheritance of China’s historical experience. The method is to study the temperature characteristics of acupuncture points and the effect of sports on acupoints from the perspective of the symmetry of the temperature and the amount of exercise on the acupuncture points. Through the exploration of infrared thermal imaging technology, experimental simulations are performed on rabbits. The results showed that the average temperature at the acupoints of Neiguan and Xinshu was higher, and the average temperature at the acupuncture points was lower. The results of the experimental part show that the body temperature of the experimental subject after exercise is not significantly different from the body temperature before exercise. There are temperature changes in some acupuncture points, but the temperature difference does not change much.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.