计算机工程2012，Vol.38Issue(4)：162-164,167,4.
基于直方图主成分变化检测的跟踪算法
Tracking Algorithm Based on Principal Component Variation Detection of Histogram
摘要
Abstract
Aiming at the problem of moving target tracking difficult under scale changes, an adaptive bandwidth algorithm is proposed by detecting the principal component variation of histogram. Considering the conspicuousness and similarity of target and background, a ratio relation is set up to select the feature which can differentiate the prospect target and background to its extent. The feature district amount is weighted by the discrimination. Target scale variation is determined by pixel amounts of principal component in histogram. A novel bandwidth criterion is defined for adjusting the tracking window adaptively. Experimental results show that the algorithm can detect the scale change of the target and make corresponding adaptation.关键词
图像目标跟踪/Mean Shift算法/主成分/自适应带宽/特征显著性/特征相似性Key words
image target tracking/ Mean Shift algorithm/ principal component/ adaptive bandwidth/ feature conspicuousness/ feature similarity分类
信息技术与安全科学引用本文复制引用
刘振涛,王朝英,刘卫群..基于直方图主成分变化检测的跟踪算法[J].计算机工程,2012,38(4):162-164,167,4.基金项目
国家自然科学基金资助项目(60774091) （60774091）
国家部委基金资助项目 （）
