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3DPVT
2006
IEEE

Gaze Tracking by Using Factorized Likelihoods Particle Filtering and Stereo Vision

8 years 11 months ago
Gaze Tracking by Using Factorized Likelihoods Particle Filtering and Stereo Vision
This paper describes a non-intrusive method to estimate the gaze direction of a person by using stereo cameras. First, facial features are tracked with an adapted particle filtering algorithm using factorized likelihoods to estimate the 3D head pose. Next the 3D gaze vector is calculated by estimating the eyeball center and the cornea center of both eyes. For the intended application of visual perception research, we also propose a new screen registration scheme to accurately locate a planar screen in world coordinates within 2 mm error. We combine the 3D screen location with the 3D gaze vectors from both eyes to establish a point of focus on the screen. The experimental results indicate that an average error of the gaze direction of about 4.6◦ can be achieved and an average error of about 4 mm for the focus point location at a viewing distance of 50 cm.
Erik Pogalin, André Redert, Ioannis Patras,
Added 10 Jun 2010
Updated 10 Jun 2010
Type Conference
Year 2006
Where 3DPVT
Authors Erik Pogalin, André Redert, Ioannis Patras, Emile A. Hendriks
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