Feature extraction from faces using deformable templates
International Journal of Computer Vision
Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time eye detection and tracking under various light conditions
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Tracking with the EM Contour Algorithm
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Real Time Visual Cues Extraction for Monitoring Driver Vigilance
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
Eye Typing using Markov and Active Appearance Models
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Visual Tracking of Multiple Objects with Automatic Motion Model Switching
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
A Probabilistic Contour Discriminant for Object Localisation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A cascaded scheme for eye tracking and head movement compensation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Radial symmetry guided particle filter for robust iris tracking
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
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An active contour method is presented and applied to robust iristracking. The main strength of the method is that the contour modelavoids explicit "feature" detection: contour sare simply assumed toremove statistical dependencies on opposite sides of the contour.The contour model is utilizedin particle filtering together withthe EM algorithm. The method shows robustness to light changes andcamera defocusing, and makes it possible to use off-the-shelfhardware for gaze-based interaction