Studies on the key methods for compressive ghost-image tracking based on background subtraction

CORC > 上海光学精密机械研究所 > 中国科学院上海光学精密机械研究所 > 中科院强激光材料重点实验室

	Studies on the key methods for compressive ghost-image tracking based on background subtraction
	Zhang Leihong; Kang Yi; Li Bei; Zhan Wenjie; Zhang Dawei; Ma Xiuhua
刊名	Ukr. J. Phys. Opt.
	2017
卷号	18 期号:3 页码:143
通讯作者	ky930827@sina.com
英文摘要	Efficient object tracking represents a technology important for many vision applications. It is known that ghost imaging (GI) has a great potential if compared with a standard imaging and solves many problems in case if the common object tracking cannot be carried out. Here we show how the techniques of compressive GI and background subtraction can achieve object tracking. First, object information is captured with the GI. A characteristic measured for an object is obtained by subtracting background in the compressed domain. This characteristic uses compressive sensing to reconstruct the object image. Then the object image is projection-positioned to obtain the corresponding centroid coordinates. At last, the object trajectory is recovered with a polynomial fit, thus providing successful object tracking. Our simulation experiments suggest that the technique can track objects accurately under condition of low sampling ratios. Moreover, it decreases drastically the number of measurements needed for reconstruction and improves the tracking efficiency.
收录类别	SCI
WOS记录号	WOS:000406788600004
内容类型	期刊论文
源URL	[http://ir.siom.ac.cn/handle/181231/28189]
专题	上海光学精密机械研究所_中科院强激光材料重点实验室
作者单位	中国科学院上海光学精密机械研究所
推荐引用方式 GB/T 7714	Zhang Leihong,Kang Yi,Li Bei,et al. Studies on the key methods for compressive ghost-image tracking based on background subtraction[J]. Ukr. J. Phys. Opt.,2017,18(3):143.
APA	Zhang Leihong,Kang Yi,Li Bei,Zhan Wenjie,Zhang Dawei,&Ma Xiuhua.(2017).Studies on the key methods for compressive ghost-image tracking based on background subtraction.Ukr. J. Phys. Opt.,18(3),143.
MLA	Zhang Leihong,et al."Studies on the key methods for compressive ghost-image tracking based on background subtraction".Ukr. J. Phys. Opt. 18.3(2017):143.