Robust Multiple Instance Learning Fast Compressive Tracking

LZUFE-KMS

	Robust Multiple Instance Learning Fast Compressive Tracking
	Wang, Li Hong; Wu, Rui Min; Gao, Jin Lin
	2016
发表期刊	JOURNAL OF INFORMATICS AND MATHEMATICAL SCIENCES
卷号	8 期号:3 页码:201-208
摘要	Fast compressive tracking algorithm performs more effective and robust than some other state-of-art tracking algorithm, it crop samples from the current frame, all these samples have the same weighted in learning procedure, in order to integrates the sample importance into the learning procedure, motived by the weighted multiple instance learning algorithm, we present a novel enhanced fast compressive tracking, which integrates the samples importance into learning procedure. Experimental results on various benchmark video sequences demonstrate the superior performance of our algorithm.
关键词	Object tracking Fast compressive tracking Multiple instance learning
收录类别	ESCI
ISSN	0974-875X
语种	英语
WOS研究方向	Mathematics
WOS类目	Mathematics
WOS记录号	WOS:000391045400008
出版者	RGN PUBL
原始文献类型	Article
EISSN	0975-5748
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/1485
专题	兰州财经大学
作者单位	Lanzhou Univ Finance & Econ, Longqiao Coll, Lanzhou 730101, Peoples R China
第一作者单位	兰州财经大学
推荐引用方式 GB/T 7714	Wang, Li Hong,Wu, Rui Min,Gao, Jin Lin. Robust Multiple Instance Learning Fast Compressive Tracking[J]. JOURNAL OF INFORMATICS AND MATHEMATICAL SCIENCES,2016,8(3):201-208.
APA	Wang, Li Hong,Wu, Rui Min,&Gao, Jin Lin.(2016).Robust Multiple Instance Learning Fast Compressive Tracking.JOURNAL OF INFORMATICS AND MATHEMATICAL SCIENCES,8(3),201-208.
MLA	Wang, Li Hong,et al."Robust Multiple Instance Learning Fast Compressive Tracking".JOURNAL OF INFORMATICS AND MATHEMATICAL SCIENCES 8.3(2016):201-208.