Digital Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Robust Real-Time Face Detection
International Journal of Computer Vision
Cascade adaboost classifiers with stage optimization for face detection
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
A study on non-intrusive facial and eye gaze detection
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A novel approach to 3-D gaze tracking using stereo cameras
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Circuits and Systems for Video Technology
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Human gaze can give valuable tips for human computer interaction, but it is very difficult to detect human gaze position with one or two camera systems. Conventional method has the limitation of inaccurate gaze detection performance or not being able to track the fast motion of user's face and eye To overcome such problem, in this paper, we propose a new gaze detection method. Compared to previous works, our method has following three advantages. First, our method uses three camera systems, such as a wide and narrow view stereo cameras and allows user's natural head and eye movement. Second, to obtain gaze position on a monitor, we detect the 3D eye position and gaze vector of eyeball. Third, to enhance the eye detection performance, we use AdaBoost eye detector and PCA algorithm Experimental results showed that our method could be used for real-time gaze detection system