@inproceedings{7520cb8f0f584745b06c33ff28d91ec7,
title = "A fast search method based on particle swarms algorithm using images' entropy",
abstract = "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.",
keywords = "Images' entropy, Particle swarms, Target research",
author = "Xun Chen and Dou, {Li Hua} and Juan Zhang and Jian Sun",
year = "2011",
language = "English",
isbn = "9789881725592",
series = "Proceedings of the 30th Chinese Control Conference, CCC 2011",
pages = "3264--3267",
booktitle = "Proceedings of the 30th Chinese Control Conference, CCC 2011",
note = "30th Chinese Control Conference, CCC 2011 ; Conference date: 22-07-2011 Through 24-07-2011",
}