Title :
Subpixel eye gaze tracking
Author :
Zhu, Jie ; Yang, Jie
Author_Institution :
Interactive Syst. Lab., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
This paper addresses the accuracy problem of an eye gaze tracking system. We first analyze the technical barrier for a gaze tracking system to achieve a desired accuracy, and then propose a subpixel tracking method to break this barrier. We present new algorithms for detecting the inner eye corner and the center of an iris at subpixel accuracy, and we apply these new methods in developing a real-time gaze tracking system. Experimental results indicate that the new methods achieve an average accuracy within 1.4° using normal eye image resolutions
Keywords :
computer vision; eye; optical tracking; real-time systems; eye gaze tracking system; eye image resolution; inner eye corner detection algorithm; iris center detection algorithm; real-time system; subpixel accuracy; technical barrier for; Eyes; Humans; Image analysis; Image edge detection; Image resolution; Iris; Neural networks; Real time systems; Retina; Robustness;
Conference_Titel :
Automatic Face and Gesture Recognition, 2002. Proceedings. Fifth IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7695-1602-5
DOI :
10.1109/AFGR.2002.1004144
