计算机应用与软件2017，Vol.34Issue(1)：137-142,6.DOI:10.3969/j.issn.1000-386x.2017.01.025
一种基于多样性优化的视频目标跟踪方法
A VIDEO TARGET TRACKING METHOD BASED ON DIVERSITY OPTIMISATION
摘要
Abstract
Aiming at the particle degradation problem of particle filter algorithm happening in the process of video target tracking, a new particle filter tracking algorithm is proposed based on diversity optimisation, integrated into cuckoo search optimisation algorithm based on levy flight mechanism.The algorithm expands the search scope as well as fully retains the amount of effective particles and the diversity of particles.Under the environment of MATLAB 7.0 operation, the simulation experiment is conducted, comparing the proposed algorithm with original particle filter algorithm and the improved particle filtering algorithm based on particle swarm optimisation by state estimation experiment and moving target tracking experiment.The results of the experiment show that the proposed algorithm operates well, improving the phenomenon of particle degradation and deficiency, and obtains high tracking accuracy, good real-time performance and robustness for video moving targets.关键词
粒子滤波/粒子退化/运动目标跟踪/粒子多样性优化Key words
Particle filter/Particle degeneracy/Moving target tracking/Particle diversity optimisation分类
信息技术与安全科学引用本文复制引用
刘剑,郭文博,李凌燕,许帅宏..一种基于多样性优化的视频目标跟踪方法[J].计算机应用与软件,2017,34(1):137-142,6.基金项目
国家自然科学基金项目(61272253) （61272253）
辽宁省科学技术研究项目(2014231001) （2014231001）
辽宁省教育厅科学研究项目(L2015443). （L2015443）
