We describe a system for detecting and tracking human eyes using a digital camera. The system uses the combination of an active illumination scheme to detect eyes and an appearance-based object classifier to weed out spurious detections. We briefly describe the eye-detection mechanism and then we compare the performances of subspace Gaussian classifiers and support vector machines applied to this task.