Gaze Estimation Based on Single Camera

Abstract

A new gaze tracking method used in single camera gaze tracking system is proposed. The method can be divided into human face and eye location, human features detection and gaze parameters extraction, and ELM based gaze point estimation. In face and eye location, a face detection method which combines skin color model with Adaboost method is used for fast human face detection. In eye features and gaze parameters extraction, many image processing methods are used to detect eye features such as iris center, inner eye corner and so on. And then gaze parameter which is the vector from iris center to eye corner is obtained. After above an ELM based gaze point on the screen estimation method is proposed to establish the mapping relationship between gaze parameter and gaze point. The experimental results illustrate that the method in this paper is effective to do gaze estimation in single camera gaze tracking system.