Research on Football object Recognition based on Mixed Gaussian model

This paper mainly focuses on detecting the image data of sports football in the image collected by the calibrated camera, and then researches the location of the center of the circle in the camera image. Firstly, the basic principles and characteristics of several mainstream moving object detection methods are introduced: background difference method, frame difference method and optical flow method. By comparing the differences of these methods, the most suitable method for this system is selected for experimental analysis. Then, based on the detection of the moving object image, the football moving image is denoised, feature extraction and the football imaging center calibration, and the experimental results are analyzed.