@inproceedings{fd7e64fb72b34c359de2af5f84008087,
title = "Improved differential evolution-based particle filter algorithm for target tracking",
abstract = "This paper presents an improved target tracking algorithm based on the differential evolution particle filter (DEPF) in order to solve the problem of particle degeneracy. In this method, the mutation, crossover and selection steps of the differential evolution are introduced into the particle filter, which optimizes the particle sampling process. Particles are moved towards regions where they are close to the value of the posterior density function through DEPF algorithm, and it improves the estimation precision, inhibits the particle degeneracy and enhances the diversity of the particles. The target observation model based on the color feature is constructed simultaneously in the algorithm, and the method of the target model update in different states is also studied. The experimental results show that the target even in attitude change and occlusion can be tracked accurately and real-timely with the DEPF algorithm. The proposed algorithm has higher tracking accuracy and is robust.",
keywords = "Differential Evolution, Particle Filter, Target Model Update, Target Occlusion, Target Tracking",
author = "Yanan Wang and Jie Chen and Minggang Gan",
year = "2011",
language = "English",
isbn = "9789881725592",
series = "Proceedings of the 30th Chinese Control Conference, CCC 2011",
pages = "3009--3014",
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",
}