Accurate gaze tracking from single camera using gabor corner detector

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	Accurate gaze tracking from single camera using gabor corner detector
	Xia, L. (1) ; Sheng, Bin (1) ; Wu, Wen (2) ; Ma, Lizhuang (1) ; Li, Ping (3)
刊名	Multimedia Tools and Applications
	2014
ISSN号	13807501
通讯作者	Sheng, Bin
中文摘要	Most of the existing gaze tracking schemes with high accuracy and high speed depend on infra-red (IR) lights and multi-cameras, which leads to high complexity of apparatus and high cost. Besides, many proposed approaches hardly offer a full discussion and solution of eye blink issue. In this paper, we propose a novel gaze tracking scheme which is capable of tracking eye movements in high accuracy. Our scheme incorporates the eye corner information extracted using a novel eye corner detector. This detector is developed based on the Gabor Wavelet Transform and the Structure Tensor. Gabor Wavelet Transform decomposes an image in multi-scales and multi-orientations, thus is robust against lighting variation and tiny shift. We abstract the distribution statistics of the feature points in the eye region and re-express it as a connectivity graph. Based on such abstraction we propose a novel solution to the eye blink issue which obtains a high successful detection rate. After implementation, our scheme is proven to be accurate compared with the state of the art. Notably, only one web camera is employed in our scheme without any auxiliary light source or cameras.
英文摘要	Most of the existing gaze tracking schemes with high accuracy and high speed depend on infra-red (IR) lights and multi-cameras, which leads to high complexity of apparatus and high cost. Besides, many proposed approaches hardly offer a full discussion and solution of eye blink issue. In this paper, we propose a novel gaze tracking scheme which is capable of tracking eye movements in high accuracy. Our scheme incorporates the eye corner information extracted using a novel eye corner detector. This detector is developed based on the Gabor Wavelet Transform and the Structure Tensor. Gabor Wavelet Transform decomposes an image in multi-scales and multi-orientations, thus is robust against lighting variation and tiny shift. We abstract the distribution statistics of the feature points in the eye region and re-express it as a connectivity graph. Based on such abstraction we propose a novel solution to the eye blink issue which obtains a high successful detection rate. After implementation, our scheme is proven to be accurate compared with the state of the art. Notably, only one web camera is employed in our scheme without any auxiliary light source or cameras.
收录类别	EI
语种	英语
WOS记录号	WOS:000367856500012
公开日期	2014-12-16
内容类型	期刊论文
源URL	[http://ir.iscas.ac.cn/handle/311060/17015]
专题	软件研究所_软件所图书馆_期刊论文
推荐引用方式 GB/T 7714	Xia, L. ,Sheng, Bin ,Wu, Wen ,et al. Accurate gaze tracking from single camera using gabor corner detector[J]. Multimedia Tools and Applications,2014.
APA	Xia, L. ,Sheng, Bin ,Wu, Wen ,Ma, Lizhuang ,&Li, Ping .(2014).Accurate gaze tracking from single camera using gabor corner detector.Multimedia Tools and Applications.
MLA	Xia, L. ,et al."Accurate gaze tracking from single camera using gabor corner detector".Multimedia Tools and Applications (2014).