Gaze tracking by Binocular Vision and LBP features

In this paper, a new method for eye gaze tracking is proposed under natural head movement. In this method, Local-Binary-Pattern Texture Feature (LBP) is adopted to calculate the eye features according to the characteristic of the eye, and a precise Binocular Vision approach is used to detect the space coordinate of the eye. The combined features of space coordinates and LBP 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.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Hu-chuan Lu, Chao Wang, Yen-wei Chen
• Keywords: Computer Vision, Eye Gaze Tracking, Gaze, ICPR 2008, Natural Head Movement