A tracking method with structural local mean and local standard deviation appearance model

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	A tracking method with structural local mean and local standard deviation appearance model
	Yang DW(杨大为); Cong Y(丛杨); Tang YD(唐延东); Li, Yulian
	2014
会议名称	全国模式识别学术会议(6th Chinese Conference on Pattern Recognition)
会议日期	2014年11月17-19
会议地点	湖南长沙
关键词	object tracking local mean local standard deviation structural appearance model the Native Bayesian
页码	355-362
通讯作者	唐延东
中文摘要	Aiming at the problem of illumination variation and partial occlusion in the object tracking, a structural local mean and local standard deviation appearance model is proposed. The object image is divided into some blocks. In each block, the local mean and local standard deviation are calculated, then, a feature vector is composed. In order to weaken the effect of the partial occlusion, an adaptive weighted value is set to each feature component. The Native Bayesian theory is applied to track the object in affine transform space. The experimental results demonstrate that the proposed tracking method performs favorably against several state-of-the-art methods.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	Communications in Computer and Information Science
会议录出版者	Springer Verlag
会议录出版地	Berlin
语种	英语
ISSN号	1865-0929
ISBN号	978-3-662-45645-3
WOS记录号	WOS:000368491600036
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/15407]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Yang DW,Cong Y,Tang YD,et al. A tracking method with structural local mean and local standard deviation appearance model[C]. 见:全国模式识别学术会议(6th Chinese Conference on Pattern Recognition). 湖南长沙. 2014年11月17-19.