Robust Real-Time Face Detection
International Journal of Computer Vision
A non-contact device for tracking gaze in a human computer interface
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Estimating the eye gaze from one eye
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Computer Vision and Image Understanding - Special issue on eye detection and tracking
EURASIP Journal on Applied Signal Processing
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Robust real time eye tracking for computer interface for disabled people
Computer Methods and Programs in Biomedicine
Eye-gaze detection from monocular camera image using parametric template matching
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
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An efficient algorithm to iris segmentation and its application to automatic and non-intrusive gaze tracking and vigilance estimation is presented and discussed. A luminance gradient technique is used to fit the irises from face images. A robust preprocessing which mimics the human retina is used in such a way that a robust system to luminance variations is obtained and contrast enhancement is achieved. The validation of the proposed algorithm is experimentally demonstrated by using three well-known test databases: the FERET database, the Yale database and the Cohn-Kanade database. Experimental results confirm the effectiveness and the robustness of the proposed approach to be applied successfully in gaze direction and vigilance estimation.