计算机应用研究2014，Vol.31Issue(2)：625-628,4.DOI:10.3969/j.issn.1001-3695.2014.02.075
基于稀疏表示和特征选择的LK目标跟踪
LK tracking based on sparse representation and features selection
摘要
Abstract
In order to tracking object in complex scenes， the paper proposed an online features selection mechanism based on sparse representation in the Lucas-Kanade image registration framework. To reduse the impact of interference on the tracking， it selected the关键词
视觉跟踪/稀疏表示/LK图像配准算法/特征选择Key words
visual tracking/sparse representation/Lucas-Kanade image registration algorithm/feature selection分类
信息技术与安全科学引用本文复制引用
PAN Qing,ZENG Zhong-jie..基于稀疏表示和特征选择的LK目标跟踪[J].计算机应用研究,2014,31(2):625-628,4.基金项目
广东省自然科学基金资助项目(9451009001002667) （9451009001002667）
