Application of an Improved Particle Filter Algorithm in Moving Target Tracking
LI Yawen
LIU Meng
Abstract：With the target particle tracking algorithm to target tracking,it is easy to track the loss when the similar color to the background or occlusion. The paper proposes an improved particle filter algorithm,Combining the traditional particle filter algo?rithm with the Kalman filter algorithm,the tracking target is divided into multiple sub-blocks and sub-module matching is per?formed,and the matched sub-modules and the predicted target position are merged to achieve accurate tracking of the moving tar?get. The simulation experiment is carried out on a piece of video captured in Matlab. The experimental results show that the modified particle filter algorithm can better track the moving target during occlusion,with high tracking accuracy and good robustness.
Keywords：target trackingparticle filterstate estimationestimated mean square error
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 41-44 )