宫海洋,任红格,史涛,李福进

• 1:华北理工大学

摘要(Abstract)：

针对单目标跟踪问题,提出基于改进粒子滤波的稀疏子空间单目标跟踪算法。在改进的粒子滤波中提出将样本分为正、负和过渡样本,减小粒子退化带来的影响,通过仿真实验验证改进粒子滤波器可提高目标跟踪的鲁棒性。仿照人眼视觉神经系统,将稀疏子空间引入粒子滤波中,建立一个稀疏最优化模型,获得稀疏矩阵,稀疏子空间有针对性地对目标进行聚类,得到聚类中心位置实现目标跟踪。经过在相同视频序列实验与基本粒子滤波同mean-shift算法目标跟踪的实验对比可知,单目标跟踪的快速性和鲁棒性得到了很大提高。

关键词(KeyWords)： 目标跟踪;贝叶斯滤波;粒子滤波;稀疏子空间;过渡样本;聚类中心

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(61203343);; 河北省自然科学基金(E2014209106);; 河北省高等学校科学技术研究青年基金项目(QN2016102,QN2016105)~~

作者(Author): 宫海洋,任红格,史涛,李福进

DOI: 10.16652/j.issn.1004-373x.2018.13.003

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