A robust human-eye tracking method in video sequences

An accurate tracking method of the human eyes in video sequence is proposed. The method consists of the following two systems. (1) The first system extracts a region including the both eyes by using a statistical processing. By the processing, the extracted region does not include the other features, especially such as the hair. (2) The second system, which is realized with the circle-frequency filter (CFF), locates each eye position from the region extracted by the first system. Since the output of the CFF is robust to luminescent noise near the eyes, it can successfully obtain the exact eye-location inside of the above region without any noise effect. Consequently, the combination of these two systems makes the proposed method correctly track the eyes without any learning schemes, templates, and geometric relations of the other facial features. Experimental results verify that the proposed method achieves accurate eye-tracking.