An improved particle filter algorithm based on Camshift is proposed in order to track the moving target quickly and accarately. Firstly

under the particle filter framework

the algorithm improves the traditional target model and presents a novel target model

which fuses color and motion cues

to enhance the robustness and accuracy of target tracking. Meanwhile

in order to increase the tracking efficiency

an improved Camshift algorithm is embedded into the particle filter to rearrange the random particles

in which the particles moved toward the maximal posterior probability density of the target state. Experimental results show that compared with the traditional particle filter algorithm or Camshift algorithm

the proposed method can successfully cope with the situations of fast moving target or strong disturbances in the background

and achieve fast and robust tracking of the target.