Abstract
The development and application of mobile portable video capture and image processing systems, as well as the development and improvement of computer multimedia courseware technology have made image processing technology widely used in football project scientific research services. This research mainly discusses the value of video image multiprocessing based on vision sensors in the field of football scientific research. The development and conduct of this research work require the application of sports video image processing technology software to conduct scientific experimental research and analysis on the athletes’ technical and tactical level, evaluate the athletes’ technical and tactical performance through qualitative and quantitative tests, and give different sports items at the same time. Humans can exchange information with the outside world through vision, hearing, and language and can express the same meaning in different ways. However, current intelligent machines or computers require programs to be written in strict accordance with various machine languages. Only in this way can the machine run. In order to enable more people to use complex machines, it is necessary to change the past situation where people adapt to machines. Instead, let the machine adapt to people’s habits and requirements and exchange information with people in the way people are used to, that is, let the machine have the ability to see, hear, and speak. At this time, the machine must have the ability of logical reasoning and decision-making. Use sports video image processing technology and use examples to study and explore practical methods and means that are most in line with the scientific work of the project, and build the most scientific and useful sports video image processing system.. The CCD visual image sensor is used for signal acquisition and image processing when the motion video image processing system is established. Through logical analysis and induction, discuss and prove the intuitiveness, practicability, efficiency, and scientificity of the application of video image processing technology in the field of football scientific research. Finally, in the mathematical statistics method, the statistical software Excel 2003 in the office system is used to perform statistical analysis on all data results and analyze and compare the key kinematic parameters of some sports events. Analyzing the video images of the 2016 European Cup, the average possession rate of the Welsh team is 48%, and the average pass success rate per game is 82.7%. This research helps to improve the ability of football players to analyze, research, and evaluate sports skills.
Highlights
With the full launch of the Chinese Football Professional League, the professional development from the “Ten Year A League” to the current “Chinese Super League”, in order to promote the improvement of the level of football in our country, people have carried out a lot of research work and used scientific literature
The ratio of the number of football scientific research papers published in these two journals to the total number is more than 10%, followed by 139 and 125 papers, respectively, published in the “Journal of Wuhan Institute of Physical Education” and “Journal of Beijing Sport University,” accounting for 9.1 of the total 8.2%
It can be said that the application and development of video image processing technology in football scientific research are advancing in continuous innovation, and in continuous innovation, we are looking for methods and means that are more in line with the scientific reality of sports training
Summary
With the full launch of the Chinese Football Professional League, the professional development from the “Ten Year A League” to the current “Chinese Super League”, in order to promote the improvement of the level of football in our country, people have carried out a lot of research work and used scientific literature. As a carrier of objective records of scientific research results, machine vision is to use various imaging systems instead of visual organs as input means, and intelligent machines replace the brain to complete the processing and interpretation of information. Journal of Sensors can complete certain tasks with a certain degree of intelligence based on visual sensitivity and feedback. The combination of image acquisition system and machine vision technology is an important direction of research and development. The structure and function of the existing acquisition system are relatively simple, usually composed of camera equipment, control equipment, storage equipment, and transmission equipment
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