Auxiliary Detection Method of Illegal Actions in Football Teaching Based on Binocular Vision

Abstract

Football teaching videos have high dynamic, which leads to poor detection performance of football teaching violations. In order to solve this problem, an assistant detection method of soccer teaching violations based on binocular vision is proposed. Using binocular vision technology to collect football teaching images and extract their image features. Through the collected image texture features to achieve image matching, determine the key frame image, and realize the auxiliary detection of football teaching violations. The experimental results show that this method can obtain accurate football teaching target positioning results, realize the accurate detection of football teaching violations, and provide reference value for the future football teaching.