Real time eye tracking using initial centroid and gradient analysis technique

Robust and accurate algorithm in real time eye tracking system has been a fundamental and challenging problem for computer vision and biomedical engineering area. This paper proposes a new method to estimate eye-motion position and direction based on initial centroid and gradient analysis technique. The proposed method was validated by tracking eye position within high and low occlusion conditions. Experimental results show that the proposed method improves the accuracy of tracking pupil position compared to conventional window-matching method. The proposed method yields 76.07% and 87,89% accuracies while the conventional window-matching performs 44.56% and 67.89% accuracies within high and low occlusion conditions, respectively.