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Robust optical eye detection during head movement (2010)
Finding the eye(s) in an image is a critical first step in a remote gaze-tracking system with a working volume large enough to encompass head movements occurring during normal user behavior. We briefly review an optical method which exploits the retroreflective properties of the eye, and present a novel method for combining difference images to reject motion artifacts. Best performance is obtained when a curvature operator is used to enhance punctate features, and search is restricted to a neighborhood about the last known location. Optimal setting of the size of this neighborhood is aided by a statistical model of naturally-occurring head movements; we present head-movement statistics mined from a corpus of around 800 hours of video, collected in a team-performance experiment.
active illumination, detection, during, eye, eye finding, head, movement, optical, pupil, Robust
Proc. ACM Symposium on Eye Tracking Research and Applications (ETRA), pp. 265-268
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