Segmentation and Simulation Analysis of Sports Video Images Based on Cellular Neural Network

In this paper, sports video images are taken as the main research object, with the video processing technology, to design and perform a set of methods including video controlling, panorama synthesis, static background suppression, moving object tracking and quantification functions for the sports analysis system. Aiming at the video sequence with relatively static background, this paper also proposes a video moving object segmentation algorithm based on cellular neural network, to complete the program design and development based on MATLAB experimental software platform, and to further improve traditional algorithm by analyzing the experimental results. Finally, the experimental results show that the algorithm shows performance advantage in segmentation performance and application.