A fast search method based on particle swarms algorithm using images' entropy

This paper proposed a fast search algorithm that are based on particle swarms algorithm with using images' entropy we decide the position of the particle swarm according to the factor of variation, which we get from local entroy. At last the results of particle swarms calculation are compared and the optimum particle is obtained as the searching result. The simulation results show that the presented multiple particle swarms algorithm of video tracking is able to apply in real time, and the tracking performance is superior to conventional algorithms.