Fast Compressive Tracking with Improved Classifiers

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	Fast Compressive Tracking with Improved Classifiers
	Luo, Mingqi ; Wang, Tuo ; Wang, Lihong
	2016
会议名称	PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC)
会议录名称	IEEE
页码	4627-4632
会议日期	MAY 28-30, 2016
会议地点	Yinchuan, PEOPLES R CHINA
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	IEEE
摘要	Visual tracking in a video is a challenging problem in computer vision. The core component of object tracker based on tracking-by-detection framework is a discriminative classifier, tasked with distinguishing between the target and the surrounding environment. Fast compressive tracking algorithm is utilized to cope with real time tracking which trained a classifier to distinguish foreground and background, however, it does not take into account the influence of previous positive samples, when target occluded, it is easy lead to tracking fail or drifting problem. This paper proposed a new samples extracted method which take the previous positive samples into classifier training, two sub-classifier are trained and combined to a strong classifier which is used to distinguish target. Experimental results demonstrated the effectiveness of our method.
关键词	Object tracking Fast compressive tracking Classifier Samples
URL	查看原文
收录类别	CPCI ; CPCI-S
语种	英语
WOS研究方向	Automation & Control Systems ; Engineering
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000383222304163
原始文献类型	Proceedings Paper
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/9723
专题	兰州财经大学
作者单位	1.Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Shanxi, Peoples R China; 2.Lanzhou Commericial Coll, Longqiao Coll, Lanzhou 730101, Peoples R China
推荐引用方式 GB/T 7714	Luo, Mingqi,Wang, Tuo,Wang, Lihong. Fast Compressive Tracking with Improved Classifiers[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2016:4627-4632.