Eye/eyes tracking based on a unified deformable template and particle filtering
Pattern Recognition Letters
Blink and wink detection for mouse pointer control
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Modeling and animating eye blinks
ACM Transactions on Applied Perception (TAP)
Computer Methods and Programs in Biomedicine
Proceedings of the 12th Brazilian Symposium on Human Factors in Computing Systems
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A statistical active appearance model (AAM) is developed to track and detect eye blinking. The model has been designed to be robust to variations of head pose or gaze. In particular we analyze and determine the model parameters which encode the variations caused by blinking. This global model is further extended using a series of sub-models to enable independent modeling and tracking of the two eye regions. Several methods to enable measurement and detection of eye-blink are proposed and evaluated. The results of various tests on different image databases are presented to validate each model.