Soccer Match Target Tracking System Based on Particle Swarm Optimization

Abstract

AbstractWith the development of science and technology and the improvement of people’s quality of life, the demand for video image processing technology is more and more extensive. Target detection and tracking in football game video is a very challenging task. The complexity of its moving background and picture makes football detection and tracking become the difficulty of image processing technology. This paper aims to study the football game target tracking system based on particle swarm optimization algorithm. Based on the analysis of the principle of image preprocessing and target tracking, combined with particle swarm optimization algorithm, a target tracking system is designed and implemented. In order to verify the effectiveness of particle swarm optimization algorithm, this paper takes a football game video on the Internet as a test sample to compare the tracking effects of particle swarm optimization algorithm and classical target tracking algorithm. The experimental results show that compared with the mean shift algorithm, the particle swarm optimization algorithm in this paper has more correct frames and better tracking effect.KeywordsParticle swarm optimizationFootball matchTarget detectionTarget tracking