The Community for Technology Leaders
Green Image
Issue No. 03 - March (2010 vol. 32)
ISSN: 0162-8828
pp: 478-500
Dan Witzner Hansen , IT University, Copenhagen, Copenhagen
Qiang Ji , Rensselaer Polynechnic Institute, Troy
Despite active research and significant progress in the last 30 years, eye detection and tracking remains challenging due to the individuality of eyes, occlusion, variability in scale, location, and light conditions. Data on eye location and details of eye movements have numerous applications and are essential in face detection, biometric identification, and particular human-computer interaction tasks. This paper reviews current progress and state of the art in video-based eye detection and tracking in order to identify promising techniques as well as issues to be further addressed. We present a detailed review of recent eye models and techniques for eye detection and tracking. We also survey methods for gaze estimation and compare them based on their geometric properties and reported accuracies. This review shows that, despite their apparent simplicity, the development of a general eye detection technique involves addressing many challenges, requires further theoretical developments, and is consequently of interest to many other domains problems in computer vision and beyond.
Eye, eye detection, eye tracking, gaze estimation, review paper, gaze tracking, object detection and tracking, human--computer interaction.

Q. Ji and D. W. Hansen, "In the Eye of the Beholder: A Survey of Models for Eyes and Gaze," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 32, no. , pp. 478-500, 2009.
94 ms
(Ver 3.3 (11022016))