The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
A buyer's guide to conic fitting
BMVC '95 Proceedings of the 6th British conference on Machine vision (Vol. 2)
Real Time Visual Cues Extraction for Monitoring Driver Vigilance
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
LAFTER: Lips and Face Real-Time Tracker
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Real-Time Multiple Face Detection Using Active Illumination
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Non-Intrusive Gaze Tracking Using Artificial Neural Networks
Non-Intrusive Gaze Tracking Using Artificial Neural Networks
Monitoring Head/Eye Motion for Driver Alertness with One Camera
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Eye and gaze tracking for interactive graphic display
Proceedings of the 2nd international symposium on Smart graphics
Iris Tracking with Feature Free Contours
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
The accuracy of eye tracking using image processing
Proceedings of the third Nordic conference on Human-computer interaction
Eye and gaze tracking for interactive graphic display
Machine Vision and Applications
Eye gaze tracking techniques for interactive applications
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
Reducing shoulder-surfing by using gaze-based password entry
Proceedings of the 3rd symposium on Usable privacy and security
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Future Play '07 Proceedings of the 2007 conference on Future Play
Eye gaze tracking techniques for interactive applications
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
Blink and wink detection for mouse pointer control
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Human-centered visualization environments
Human-centered visualization environments
Gaze movement inference for user adapted image annotation and retrieval
SBNMA '11 Proceedings of the 2011 ACM workshop on Social and behavioural networked media access
Segmentation and labeling of face images for electronic documents
Expert Systems with Applications: An International Journal
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Non-intrusive methods based on active remote IR illumination for eye tracking are important for many applications of vision-based man-machine interaction. One problem that has plagued those methods is their sensitivity to lighting condition change. This tends to significantly limit their scope of application. In this paper, we present a new real-time eye detection and tracking methodology that works under variable and realistic lighting conditions. Based on combining the bright-pupil effect resulted from IR light and the conventional appearance-based object recognition technique, our method can robustly track eyes when the pupils are not very bright due to significant external illumination interferences. The appearance model is incorporated in both eyes detection and tracking via the use of support vector machine and the mean shift tracking. Additional improvement is achieved from modifying the image acquisition apparatus including the illuminator and the camera.