A Robust Eye Detection and Tracking Technique Using Gabor Filters

Authors:
Yen-Wei Chen;Kenji Kubo
Affiliations:
-;-
Venue:
IIH-MSP '07 Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 01
Year:
2007

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Abstract

Eye detection is an important issue in the area of face recognition and vision based human-machine interface and so on. In this paper, we propose a robust eye (pupil) detection and tracking technique using Gabor filters. We first use Gabor filter and skin color information to detect the face and then an eye candidate region is automatically determined based on the geometric structure of human face. We then four Gabor filters with different directions (0, /4, /2, 3 /4) to the eye candidate region. Since the pupil of eye do not have any directions, the pupil or the eye can be easily detected by combining the four responses of Gabor filters with a logical product. The proposed method is able to robustly detect and track eyes, and is insensitive to distance, pose and glass. In addition, the proposed method is also able to simultaneously detect and track multiple people. Keywords: Gabor filter, face detection, eye detection, skin color, logical product