Gaze Tracking by Binocular Vision Technology and PPBTF Features

In this paper, a new method for eye gaze tracking is proposed under natural head movement. In this method, pixel-pattern-based texture feature (PPBTF) is proposed to calculate the infrared eye features according to the characteristic of the infrared eye, and a new binocular vision approach is adopted to detect the space coordinate of the eye. The combined features of space coordinates and PPBTF features of the eyes are fed into support vector regression (SVR) to match the gaze mapping function, in the hope of tracking gaze direction under natural head movement. The experimental results prove that the proposed method can determine the gaze direction accurately.