Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective

doi:10.1109/ACCESS.2019.2959942

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective
	Liu, Yating 1,2; Wang, Kunfeng 3; Li, Xuesong 1,2; Bai, Tianxiang 1,2; Wang, Fei-Yue 2
刊名	IEEE ACCESS
	2019
卷号	7 页码:184581-184598
关键词	Visual tracking bibliographic analysis collaboration patterns research hotspots parallel vision
ISSN号	2169-3536
DOI	10.1109/ACCESS.2019.2959942
通讯作者	Wang, Kunfeng(wangkf@mail.buct.edu.cn)
英文摘要	Benefitting from continuous progress in computer architecture and computer vision algorithms, the visual tracking field has earned its rapid development in recent years. This paper surveys this interesting field through bibliographic analysis on the Web-of-Science literature from 1990 to 2019. Specifically, statistical analysis methods are used to obtain the most productive authors and countries/regions, the most cited papers, and so on. In order to realize an in-depth analysis, the co-authors, co-keywords and keyword-author co-occurrence networks are built to intuitively exhibit the evolution of research hotspots and the collaboration patterns among world-wide researchers. Brief introductions of the topics that occur frequently in co-keywords networks are provided as well. Furthermore, existing challenges and future research directions within the visual tracking field are discussed, revealing that tracking-by-detection and deep learning will continue receiving much attention. In addition, the parallel vision approach should be adopted for training and evaluating visual tracking models in a virtual-real interaction manner.
资助项目	National Key Research and Development Program of China[2018YFC1704400] ; National Natural Science Foundation of China[U1811463]
WOS关键词	ROBUST OBJECT TRACKING ; VISION ; MULTITARGET ; APPEARANCE ; MULTIVIEW ; IMAGES ; MODEL ; SET
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000510021700012
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/28608]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Wang, Kunfeng
作者单位	1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 3.Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China
推荐引用方式 GB/T 7714	Liu, Yating,Wang, Kunfeng,Li, Xuesong,et al. Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective[J]. IEEE ACCESS,2019,7:184581-184598.
APA	Liu, Yating,Wang, Kunfeng,Li, Xuesong,Bai, Tianxiang,&Wang, Fei-Yue.(2019).Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective.IEEE ACCESS,7,184581-184598.
MLA	Liu, Yating,et al."Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective".IEEE ACCESS 7(2019):184581-184598.