Dual-scale weighted structural local sparse appearance model for object tracking

doi:10.1049/iet-cvi.2018.5158

CORC > 国家天文台 > 中国科学院国家天文台

	Dual-scale weighted structural local sparse appearance model for object tracking
	Zeng, Xianyou 1,2; Xu, Long 3; Cen, Yigang 1,2; Zhao, Ruizhen 1,2; Feng, Wanli 1,2
刊名	IET COMPUTER VISION
	2019-03-01
卷号	13 期号:2 页码:146-156
ISSN号	1751-9632
DOI	10.1049/iet-cvi.2018.5158
英文摘要	It is a great challenge to develop an effective appearance model for robust visual tracking due to various interfering factors, such as pose change, occlusion, background clutter etc. More and more visual tracking methods tend to exploit the local appearance model to deal with the above challenges. In this study, the authors present a simple yet effective weighted structural local sparse appearance model, which can better describe the target appearance information through patch-based generative weight. To further improve the robustness of tracking, they implement this appearance model on two-scale patches. The two derived appearance models are then combined to form a collaborative model to play their advantages. Extensive experiments on the tracking benchmark dataset show that the proposed method performs favourably against several state-of-the-art methods.
资助项目	National Natural Science Foundation of China (NSFC)[61572461] ; National Natural Science Foundation of China (NSFC)[11790305] ; National Natural Science Foundation of China (NSFC)[11433006] ; National Natural Science Foundation of China (NSFC)[61872034] ; CAS '100-Talents'
WOS关键词	VISUAL TRACKING ; ROBUST
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	INST ENGINEERING TECHNOLOGY-IET
WOS记录号	WOS:000459454900009
资助机构	National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; CAS '100-Talents' ; CAS '100-Talents' ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; CAS '100-Talents' ; CAS '100-Talents' ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; CAS '100-Talents' ; CAS '100-Talents' ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; CAS '100-Talents' ; CAS '100-Talents'
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/25101]
专题	中国科学院国家天文台
通讯作者	Zhao, Ruizhen
作者单位	1.Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China 2.Key Lab Adv Informat Sci & Network Technol Beijin, Beijing 100044, Peoples R China 3.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
推荐引用方式 GB/T 7714	Zeng, Xianyou,Xu, Long,Cen, Yigang,et al. Dual-scale weighted structural local sparse appearance model for object tracking[J]. IET COMPUTER VISION,2019,13(2):146-156.
APA	Zeng, Xianyou,Xu, Long,Cen, Yigang,Zhao, Ruizhen,&Feng, Wanli.(2019).Dual-scale weighted structural local sparse appearance model for object tracking.IET COMPUTER VISION,13(2),146-156.
MLA	Zeng, Xianyou,et al."Dual-scale weighted structural local sparse appearance model for object tracking".IET COMPUTER VISION 13.2(2019):146-156.