Object tracking using the trust-region method in scale-space with probability distribution images generated by kernel density estimation

CORC > 北京大学 > 地球与空间科学学院

	Object tracking using the trust-region method in scale-space with probability distribution images generated by kernel density estimation
	Jia, Jingping ; Zhang, Feizhou ; Chai, Yanmei
刊名	qinghua daxue xuebaojournal of tsinghua university
	2009
英文摘要	In the widely used mean shift-based tracking algorithms, targets are described by color histograms with their size determined using predefined parameters. However histograms affect the precision of the target's color description and it's impossible to precisely describe a target's size with discrete parameters. This paper presents a new approach for tracking objects in image sequences which precisely tracks the constant changes of the target's size. A reference image gives the kernel density estimate (KDE) of the target's color distribution. Then for each incoming frame, a probability distribution image of the target is created through evaluating and normalizing of the KDE. Through searching the local maxima of multi-scale normalized Laplacian filters of the probability distribution image the target is located and its size is determined. Comparison with histogram-based algorithms show that the new method describes the target more accurately and thus achieves much better tracking precision.; EI; 0; 4; 595-598; 49
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/408216]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Jia, Jingping,Zhang, Feizhou,Chai, Yanmei. Object tracking using the trust-region method in scale-space with probability distribution images generated by kernel density estimation[J]. qinghua daxue xuebaojournal of tsinghua university,2009.
APA	Jia, Jingping,Zhang, Feizhou,&Chai, Yanmei.(2009).Object tracking using the trust-region method in scale-space with probability distribution images generated by kernel density estimation.qinghua daxue xuebaojournal of tsinghua university.
MLA	Jia, Jingping,et al."Object tracking using the trust-region method in scale-space with probability distribution images generated by kernel density estimation".qinghua daxue xuebaojournal of tsinghua university (2009).