Abstract for gee_mmvip

To appear in the Proceedings of the International Conference on Mechatronics and Machine Vision in Practice, Toowoomba, Australia 1994.


Andrew Gee and Roberto Cipolla

May 1994

Current approaches to gaze tracking tend to be highly intrusive: the subject must either remain perfectly still, or wear cumbersome headgear to maintain a constant separation between the sensor and the eye. This paper describes a more flexible vision-based approach, which can estimate the direction of gaze from a single, monocular view of a face. The technique makes minimal assumptions about the structure of the face, requires very few image measurements, and produces a useful estimate of the facial orientation. The computational requirements are insignificant, so with automatic tracking of a few facial features it is possible to produce real-time gaze estimates. A robust, multiple hypothesis tracker is described, which utilises no expensive correlation operations and runs at video rate on standard hardware.

Keywords: Gaze tracking, human-computer interaction, weak perspective, affine camera, real-time feature tracking.

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