Robust object tracking via multi-scale patch based sparse coding histogram

doi:10.1007/s11042-016-3289-2

CORC > 合肥物质科学研究院 > 中国科学院合肥物质科学研究院 > 中科院合肥智能机械研究所

	Robust object tracking via multi-scale patch based sparse coding histogram
	Wang, Zhongpei 1; Wang, Hao 1; Tan, Jieqing 1; Chen, Peng 3; Xie, Chengjun 1,2
刊名	MULTIMEDIA TOOLS AND APPLICATIONS
	2017-05-01
卷号	76 期号:10 页码:12181-12203
关键词	Object Tracking Multi-scale Patch Sparse Coding Histogram Appearance Model
DOI	10.1007/s11042-016-3289-2
文献子类	Article
英文摘要	There are many visual tracking algorithms that are based on sparse representation appearance model. Most of them are modeled by local patches with fixed patch scale, which make trackers less effective when objects undergone appearance changes such as illumination variation, pose change or partial occlusion. To solve the problem, a novel appearance representation model is proposed via multi-scale patch based sparse coding histogram for robust visual tracking. In this paper, the appearance of an object is modeled by different scale patches, which are represented by sparse coding histogram with different scale dictionaries. Then a similarity measure is applied to the calculation of the distance between the sparse coding histograms of target candidate and target template. Finally, the similarity score of the target candidate is passed to a particle filter to estimate the target state sequentially in the tracking process. Additionally, in order to decrease the visual drift caused by partial occlusion, an occlusion handling strategy is adopted, which takes the spatial information of multi-scale patches and occlusion into account. Based on the experimental results on some benchmarks of video sequences, our tracker outperforms state-of-the-art tracking methods.
WOS关键词	VISUAL TRACKING ; APPEARANCE MODEL ; REPRESENTATION
WOS研究方向	Computer Science ; Engineering
语种	英语
WOS记录号	WOS:000401935200002
资助机构	National Natural Science Foundation of China(61070227 ; National Natural Science Foundation of China(61070227 ; National Natural Science Foundation of China(61070227 ; National Natural Science Foundation of China(61070227 ; NSFC-Guangdong Joint Foundation Key Project(U1135003) ; NSFC-Guangdong Joint Foundation Key Project(U1135003) ; NSFC-Guangdong Joint Foundation Key Project(U1135003) ; NSFC-Guangdong Joint Foundation Key Project(U1135003) ; 61300058 ; 61300058 ; 61300058 ; 61300058 ; 61472282 ; 61472282 ; 61472282 ; 61472282 ; 31401293 ; 31401293 ; 31401293 ; 31401293 ; 41302261) ; 41302261) ; 41302261) ; 41302261) ; National Natural Science Foundation of China(61070227 ; National Natural Science Foundation of China(61070227 ; National Natural Science Foundation of China(61070227 ; National Natural Science Foundation of China(61070227 ; NSFC-Guangdong Joint Foundation Key Project(U1135003) ; NSFC-Guangdong Joint Foundation Key Project(U1135003) ; NSFC-Guangdong Joint Foundation Key Project(U1135003) ; NSFC-Guangdong Joint Foundation Key Project(U1135003) ; 61300058 ; 61300058 ; 61300058 ; 61300058 ; 61472282 ; 61472282 ; 61472282 ; 61472282 ; 31401293 ; 31401293 ; 31401293 ; 31401293 ; 41302261) ; 41302261) ; 41302261) ; 41302261)
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/31904]
专题	合肥物质科学研究院_中科院合肥智能机械研究所
作者单位	1.Hefei Univ Technol, Sch Comp & Informat, Hefei 230009, Peoples R China 2.Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China 3.Anhui Univ, Inst Hlth Sci, Hefei 230601, Peoples R China
推荐引用方式 GB/T 7714	Wang, Zhongpei,Wang, Hao,Tan, Jieqing,et al. Robust object tracking via multi-scale patch based sparse coding histogram[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2017,76(10):12181-12203.
APA	Wang, Zhongpei,Wang, Hao,Tan, Jieqing,Chen, Peng,&Xie, Chengjun.(2017).Robust object tracking via multi-scale patch based sparse coding histogram.MULTIMEDIA TOOLS AND APPLICATIONS,76(10),12181-12203.
MLA	Wang, Zhongpei,et al."Robust object tracking via multi-scale patch based sparse coding histogram".MULTIMEDIA TOOLS AND APPLICATIONS 76.10(2017):12181-12203.