计算机工程与应用Issue(22)：155-159,5.DOI:10.3778/j.issn.1002-8331.1212-0050
基于双向二维主成分分析的运动目标跟踪
Moving object tracking based on bidirectional two-dimensional principle com-ponent analysis
摘要
Abstract
An object tracking algorithm based on bidirectional two-dimensional principle component analysis(Bi-2DPCA)is proposed. Object representation based on Bi-2DPCA is used to generate the object image subspace. To increase the speed of al-gorithm, an incremental learning method based on proposed adaptive incremental factor according to the object image match de-gree is adopted to update the related mean matrix and covariance matrices. The comparative experiments on classical image se-quences containing dynamic backgrounds have been carried out, the results show the proposed algorithm is capable of tracking object accurately even in case of partial occlusion, and more efficient than the algorithm based on two-dimensional principle component analysis.关键词
二维主成分分析/双向二维主成分分析/目标跟踪/增量学习Key words
two-dimensional principle component analysis/bidirectional two-dimensional principle component analysis/object tracking/incremental learning分类
信息技术与安全科学引用本文复制引用
戚培庆,张超,吕钊,吴小培..基于双向二维主成分分析的运动目标跟踪[J].计算机工程与应用,2013,(22):155-159,5.基金项目
安徽省科技攻关强警专项（No.1101b0403030）；国家自然科学基金（No.61271352）；中国科学院上海微系统与信息技术横向研发基金课题资助。 （）
