Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy

doi:10.1109/ACCESS.2017.2692242

	Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy
	Hu, Qingyong 1; Guo, Yulan 1,2; Lin, Zaiping 1; Deng, Xinpu 1; An, Wei 1
	2017
发表期刊	IEEE ACCESS
ISSN	2169-3536
卷号	5 页码:8568-8578
摘要	Recently, correlation filter-based tracking algorithms have attracted much attention for its high efficiency and robustness. However, achieving fast and accurate scale estimation remains a challenging problem. Most existing scale estimation approaches are inefficient and time-consuming. Besides, these existing trackers perform poorly when the object is under fast motion and partial occlusion due to limited searching area. In this paper, an independent scale filter is proposed to estimate the scale of an object, and the dimensionality reduction strategy is used to reduce computational cost. In addition, a local search strategy is proposed to expand the searching area of the tracker, which can effectively solve the problem caused by fast motion and occlusion. Extensive experiments have been conducted on three large-scale benchmarks, and it is shown that our proposed tracker outperforms the most state-of-the-art trackers. It achieves an average precision score of 87.2%, and an average success score of 65.2% on the object tracking benchmark-2013 benchmark. Moreover, our proposed tracker can run at a speed of nearly 80 frames/s on a single CPU, exceeding most competitive trackers by several times.
关键词	Object tracking correlation filter scale filter dimensionality reduction local search strategy
DOI	10.1109/ACCESS.2017.2692242
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61602499] ; National Natural Science Foundation of China[61471371] ; National Postdoctoral Program for Innovative Talents[BX201600172]
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:000403140800151
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/7060
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Guo, Yulan
作者单位	1.Natl Univ Def Technol, Coll Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Hu, Qingyong,Guo, Yulan,Lin, Zaiping,et al. Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy[J]. IEEE ACCESS,2017,5:8568-8578.
APA	Hu, Qingyong,Guo, Yulan,Lin, Zaiping,Deng, Xinpu,&An, Wei.(2017).Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy.IEEE ACCESS,5,8568-8578.
MLA	Hu, Qingyong,et al."Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy".IEEE ACCESS 5(2017):8568-8578.