Adaptive pyramid mean shift for global real-time visual tracking

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	Adaptive pyramid mean shift for global real-time visual tracking
	Li, Shu-Xiao; Chang, Hong-Xing; Zhu, Cheng-Fei
发表期刊	IMAGE AND VISION COMPUTING
	2010-03-01
卷号	28 期号:3 页码:424-437
文章类型	Article
摘要	Tracking objects in videos using the mean shift technique has attracted considerable attention. In this work, a novel approach for global target tracking based on mean shift technique is proposed. The proposed method represents the model and the candidate in terms of background weighted histogram and color weighted histogram, respectively, which can obtain precise object size adaptively with low computational complexity. To track targets whose displacements between two successive frames are relatively large, we implement the mean shift procedure via a coarse-to-fine way for global maximum seeking. This procedure is termed as adaptive pyramid mean shift, because it uses the pyramid analysis technique and can determine the pyramid level adaptively to decrease the number of iterations required to achieve convergence. Experimental results on various tracking videos and its application to a tracking and pointing subsystem show that the proposed method can successfully cope with different situations such as camera motion, camera vibration, camera zoom and focus, high-speed moving object tracking, partial occlusions, target scale variations, etc. (C) 2009 Elsevier B.V. All rights reserved.
关键词	Global Visual Tracking Fast Mean Shift Adaptive Level Kernel-based Tracking Tracking And Pointing Subsystem
WOS标题词	Science & Technology ; Technology ; Physical Sciences
关键词[WOS]	OBJECT TRACKING ; PARTICLE FILTER ; MODE SEEKING ; FEATURES ; COLOR ; SURVEILLANCE ; KERNELS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Optics
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS记录号	WOS:000273103300013
引用统计	被引频次：41[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/4141
专题	综合信息系统研究中心
通讯作者	Li, Shu-Xiao
作者单位	Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Li, Shu-Xiao,Chang, Hong-Xing,Zhu, Cheng-Fei. Adaptive pyramid mean shift for global real-time visual tracking[J]. IMAGE AND VISION COMPUTING,2010,28(3):424-437.
APA	Li, Shu-Xiao,Chang, Hong-Xing,&Zhu, Cheng-Fei.(2010).Adaptive pyramid mean shift for global real-time visual tracking.IMAGE AND VISION COMPUTING,28(3),424-437.
MLA	Li, Shu-Xiao,et al."Adaptive pyramid mean shift for global real-time visual tracking".IMAGE AND VISION COMPUTING 28.3(2010):424-437.

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