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http://dx.doi.org/10.5302/J.ICROS.2009.15.4.379

Gaze Direction Estimation Method Using Support Vector Machines (SVMs)  

Liu, Jing ((주)ATM)
Woo, Kyung-Haeng (울산대학교 전기전자정보시스템학부)
Choi, Won-Ho (울산대학교 전기전자정보시스템학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.15, no.4, 2009 , pp. 379-384 More about this Journal
Abstract
A human gaze detection and tracing method is importantly required for HMI(Human-Machine-Interface) like a Human-Serving robot. This paper proposed a novel three-dimension (3D) human gaze estimation method by using a face recognition, an orientation estimation and SVMs (Support Vector Machines). 2,400 images with the pan orientation range of $-90^{\circ}{\sim}90^{\circ}$ and tilt range of $-40^{\circ}{\sim}70^{\circ}$ with intervals unit of $10^{\circ}$ were used. A stereo camera was used to obtain the global coordinate of the center point between eyes and Gabor filter banks of horizontal and vertical orientation with 4 scales were used to extract the facial features. The experiment result shows that the error rate of proposed method is much improved than Liddell's.
Keywords
gaze estimation; skin color detection; Gabor filter; support vector machines;
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