计算机工程与应用2017，Vol.53Issue(22)：16-20,5.DOI:10.3778/j.issn.1002-8331.1709-0050
基于二值掩码图像的粒子滤波目标跟踪快速算法
ast particle filter algorithm for object tracking based on binary mask image
摘要
Abstract
Particle filter algorithm is an important method in the field of moving object tracking. A fast particle filter algo-rithm for object tracking based on binary mask image is proposed to solve the large calculation and poor real-time prob-lems 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 low-er weight in the background of the mask are removed and the important particles with larger weight are retained. The pro-posed 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 fil-ter algorithm show that the proposed algorithm can not only improve the tracking speed effectively, but also improve the tracking accuracy and robustness.关键词
目标跟踪/粒子滤波/颜色直方图/二值掩码图像Key words
object tracking/particle filter/color histogram/binary mask image分类
信息技术与安全科学引用本文复制引用
段苛苛,邰滢滢..基于二值掩码图像的粒子滤波目标跟踪快速算法[J].计算机工程与应用,2017,53(22):16-20,5.基金项目
辽宁大学科研基金(科技类)项目(No.LDQN2015002) （科技类）
辽宁省教育厅科学研究一般项目(No.LYB201616). （No.LYB201616）
