中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Recent advances and trends in visual tracking: A review

文献类型:期刊论文

作者Hanxuan Yang; Ling Shao; Feng Zheng; Liang Wang; Zhan Song
刊名NEUROCOMPUTING
出版日期2011
卷号74期号:18页码:3823-3831
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 futuretrends. 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.
收录类别SCI
原文出处http://www.sciencedirect.com/science/article/pii/S0925231211004668
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/3223]  
专题深圳先进技术研究院_集成所
作者单位NEUROCOMPUTING
推荐引用方式
GB/T 7714
Hanxuan Yang,Ling Shao,Feng Zheng,et al. Recent advances and trends in visual tracking: A review[J]. NEUROCOMPUTING,2011,74(18):3823-3831.
APA Hanxuan Yang,Ling Shao,Feng Zheng,Liang Wang,&Zhan Song.(2011).Recent advances and trends in visual tracking: A review.NEUROCOMPUTING,74(18),3823-3831.
MLA Hanxuan Yang,et al."Recent advances and trends in visual tracking: A review".NEUROCOMPUTING 74.18(2011):3823-3831.

入库方式: OAI收割

来源:深圳先进技术研究院

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