关键词: 目标跟踪, 粒子滤波, 颜色直方图, 二值掩码图像

Abstract: Particle filter algorithm is an important method in the field of moving object tracking. A fast particle filter algorithm for object tracking based on binary mask image is proposed to solve the large calculation and poor real-time problems in traditional particle filter tracking algorithm. In the proposed algorithm, a binary mask image is generated in each frame processing stage of traditional particle filter, then combined with a weight selection method, the particles with lower weight in the background of the mask are removed and the important particles with larger weight are retained. The proposed algorithm can effectively save the calculation cost by reducing the number of particles involved in calculation, and improve the real-time performance of object tracking. The experimental results compared with the traditional particle filter algorithm show that the proposed algorithm can not only improve the tracking speed effectively, but also improve the tracking accuracy and robustness.

Key words: object tracking, particle filter, color histogram, binary mask image