%0 Journal Article
%T Particle filter algorithm based on information-shared mechanism and its application to visual tracking<br>基于信息分享机制的粒子滤波算法及其在视觉跟踪中的应用
%A QIU Xue-na
%A LIU Shi-rong
%A L Qiang
%A <br>邱雪娜
%A 刘士荣
%A 吕强
%J 控制理论与应用
%D 2010
%I 
%X To deal with the weight-degeneracy and computation efficiency in particle filter, we propose a novel particle filter algorithm based on the information-shared mechanism. This method combines particle swarm optimization and ant colony optimization to update particles to fully share the population information. The particles diversity is recovered and the estimation precision is improved. The convergence of this algorithm is analyzed. Visual tracking experiments show that the proposed algorithm realizes both single-object tracking and multi-object tracking with fewer particles and better comprehensive tracking-performance than classic particle filters and the particle filter based on particle-swarm optimization.
%K particle filter
%K information-shared mechanism
%K visual tracking
%K multi-object tracking<br>粒子滤波
%K 信息分享机制
%K 视觉跟踪
%K 多目标跟踪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=66EDFEDB6E3E816B1FD6AE57DCD76A78&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=59906B3B2830C2C5&sid=A84A3AD26CE1D4D2&eid=1DB1D13154F28125&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=0