Gaze tracking in wide area using multiple camera observations

Authors:
Akira Utsumi;Kotaro Okamoto;Norihiro Hagita;Kazuhiro Takahashi
Affiliations:
ATR Intelligent Robotics and Communication Laboratories;ATR Intelligent Robotics and Communication Laboratories and Doshisha University;ATR Intelligent Robotics and Communication Laboratories;Doshisha University
Venue:
Proceedings of the Symposium on Eye Tracking Research and Applications
Year:
2012

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Abstract

We propose a multi-camera-based gaze tracking system that provides a wide observation area. In our system, multiple camera observations are used to expand the detection area by employing mosaic observations. Each facial feature and eye region image can be observed by different cameras, and in contrast to stereo-based systems, no shared observations are required. This feature relaxes the geometrical constraints in terms of head orientation and camera viewpoints and realizes wide availability of gaze tracking with a small number of cameras. In experiments, we confirmed that our implemented system can track head rotation of 120° with two cameras. The gaze estimation accuracy is 5.4° horizontally and 9.7° vertically.