西安电子科技大学学报（自然科学版）Issue(2)：162-166,205,6.DOI:10.3969/j.issn.1001-2400.2015.02.027
仿射变换在压缩感知跟踪中的应用
Application of affine transform in compressed sensing tracking
摘要
Abstract
The affine transform is employed to solve the scale change and rotation in in compressed sensing tracking.Firstly according to the Gauss distribution of a certain variance,a number of candidates are produced based on the former tracking result.Then the patch is transformed into the orthogonal coordinate via affine transformation.And the high-dimension feature vector is acquired through the multiple-scale filter.The high-dimension feature vector is compressed through the compressive matrix.Finally,the low-dimension feature vector is passed through the bayes classifier and the candidate with the highest response is recognized as the tracking result,on the basis of which the positive and negative samples are extracted to update the parameters of the naive bayes classifier.Experimental results show that the proposed algorithm can well cope with the scale variation and rotation in compressed visual tracking.关键词
视频跟踪/仿射变换/尺度变化/目标旋转/压缩感知Key words
visual tracking/affine transform/scale variation/obj ect rotation/compressed sensing分类
信息技术与安全科学引用本文复制引用
黄宏图,葛渊,张继,查宇飞,毕笃彦,侯志强..仿射变换在压缩感知跟踪中的应用[J].西安电子科技大学学报（自然科学版）,2015,(2):162-166,205,6.基金项目
国家自然科学基金资助项目(61175029,61379104,61372167) （61175029,61379104,61372167）
国家自然科学基金青年科学基金资助项目(61203268,61202339) （61203268,61202339）
