Value Analysis of Video Image Multiprocessing Based on Vision Sensor in the Field of Football Scientific Research

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