Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective

doi:10.1109/ACCESS.2019.2959942

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective
	Liu, Yating1,2 ; Wang, Kunfeng3 ; Li, Xuesong1,2 ; Bai, Tianxiang1,2 ; Wang, Fei-Yue1
发表期刊	IEEE ACCESS
ISSN	2169-3536
	2019
卷号	7 页码:184581-184598
通讯作者	Wang, Kunfeng(wangkf@mail.buct.edu.cn)
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.
关键词	Visual tracking bibliographic analysis collaboration patterns research hotspots parallel vision
DOI	10.1109/ACCESS.2019.2959942
关键词[WOS]	ROBUST OBJECT TRACKING ; VISION ; MULTITARGET ; APPEARANCE ; MULTIVIEW ; IMAGES ; MODEL ; SET
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018YFC1704400] ; National Natural Science Foundation of China[U1811463] ; National Key Research and Development Program of China[2018YFC1704400] ; National Natural Science Foundation of China[U1811463]
项目资助者	National Key Research and Development Program of China ; National Natural Science Foundation of China
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000510021700012
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	目标检测、跟踪与识别
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/28609
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wang, Kunfeng
作者单位	1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China
第一作者单位	中国科学院自动化研究所
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.

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