Detecting and tracking eyes by using their physiological properties, dynamics, and appearance

A. Haro, M. Flickner, I. Essa
Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662)  
Reliable detection and tracking of eyes is an important requirement for attentive user interfaces. In this paper, we present a methodology for detecting eyes robustly in indoor environments in real-time. We exploit the physiological properties and appearance of eyes as well as head/eye motion dynamics. Structured infrared lighting is used to capture the physiological properties of eyes, Kalman trackers are used to model eye/head dynamics, and a probabilistic based appearance model is used to
more » ... resent eye appearance. By combining three separate modalities, with specific enhancements within each modality, our approach allows eyes to be treated as robust features that can be used for other higher-level processing.
doi:10.1109/cvpr.2000.855815 dblp:conf/cvpr/HaroFE00 fatcat:7rsb5jmiorfrfk6ta5n63ojupq