【作者】 牛丽辉； 蔡灿辉；

【Author】 NIU Li-hui,CAI Can-hui College of Information Science and Engineering,Huaqiao University,Quanzhou,Fujian 362021,China

【机构】 华侨大学信息科学与工程学院；

【摘要】 粒子滤波作为一种基于贝叶斯估计的非线性滤波算法,在处理非线性运动目标跟踪问题方面有独到的优势,近些年来得到了广泛的研究和应用。首先简要介绍了非线性贝叶斯估计理论,粒子滤波算法的原理,几种基本的粒子滤波算法,最后介绍了粒子滤波在目标跟踪中的应用更多还原

【Abstract】 Particle filtering is a nonlinear filtering algorithm based on Bayesian estimation.This method has been widely studied and applied because it has a special advantage of treating nonlinear movement in object tracking.Firstly,the principle of nonlinear Bayesian estimation theory and particle filter is presented in brief in this paper.Secondly,a couple of relevant filter algorithm are summarized.Finally,the application in object tracking of particle filtering is illustrated.更多还原