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Title:
Accurate gaze tracking from single camera using gabor corner detector
Author: Xia, L. (1) ; Sheng, Bin (1) ; Wu, Wen (2) ; Ma, Lizhuang (1) ; Li, Ping (3)
Corresponding Author: Sheng, Bin
Source: Multimedia Tools and Applications
Issued Date: 2014
Indexed Type: EI
Department: (1) Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, Shanghai, China; (2) Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macao, China; (3) Department of Mathematics and Information Technology, The Hong Kong Institute of Education, Hong Kong, China; (4) The State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
Abstract: 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.
English Abstract: 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.
Language: 英语
WOS ID: WOS:000367856500012
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/17015
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Xia, L. ,Sheng, Bin ,Wu, Wen ,et al. Accurate gaze tracking from single camera using gabor corner detector[J]. Multimedia Tools and Applications,2014-01-01.
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