Recent advances and trends in visual tracking: A review

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	Recent advances and trends in visual tracking: A review
	Yang, Hanxuan 2,3; Shao, Ling 1,2; Zheng, Feng 2; Wang, Liang4 ; Song, Zhan 2,5
刊名	NEUROCOMPUTING
	2011-11-01
卷号	74 期号:18 页码:3823-3831
关键词	Visual tracking Feature descriptor Online learning Contextural information Monte Carlo sampling
英文摘要	The goal of this paper is to review the state-of-the-art progress on visual tracking methods, classify them into different categories, as well as identify future trends. Visual tracking is a fundamental task in many computer vision applications and has been well studied in the last decades. Although numerous approaches have been proposed, robust visual tracking remains a huge challenge. Difficulties in visual tracking can arise due to abrupt object motion, appearance pattern change, non-rigid object structures, occlusion and camera motion. In this paper, we first analyze the state-of-the-art feature descriptors which are used to represent the appearance of tracked objects. Then, we categorize the tracking progresses into three groups, provide detailed descriptions of representative methods in each group, and examine their positive and negative aspects. At last, we outline the future trends for visual tracking research. (C) 2011 Elsevier B.V. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence
研究领域[WOS]	Computer Science
关键词[WOS]	FEATURES ; FILTER
收录类别	SCI
语种	英语
WOS记录号	WOS:000296941200012
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/9754]
专题	自动化研究所_智能感知与计算研究中心
作者单位	1.Univ Sheffield, Dept Elect & Elect Engn, Sheffield S10 2TN, S Yorkshire, England 2.Chinese Acad Sci, Shenzhen Inst Adv Technol, Beijing 100864, Peoples R China 3.S China Agr Univ, Dept Elect Engn, Guangzhou, Peoples R China 4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China 5.Chinese Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Yang, Hanxuan,Shao, Ling,Zheng, Feng,et al. Recent advances and trends in visual tracking: A review[J]. NEUROCOMPUTING,2011,74(18):3823-3831.
APA	Yang, Hanxuan,Shao, Ling,Zheng, Feng,Wang, Liang,&Song, Zhan.(2011).Recent advances and trends in visual tracking: A review.NEUROCOMPUTING,74(18),3823-3831.
MLA	Yang, Hanxuan,et al."Recent advances and trends in visual tracking: A review".NEUROCOMPUTING 74.18(2011):3823-3831.