A novel information fusion based FTT algorithm for a driver fatigue monitoring system

This paper presents a novel FTT (Feature Triangle Tracking) algorithm to track the eyes, mouth and pose of a fatigue driver. The proposed method uses the motion information to localize the face region, and the face region is processed in YCrCb color space to determine the locations of the eyes and mouth. According to geometrical relationships of facial components and the varied pose of the driver, the system derives from the isosceles feature triangle and right feature triangle. The FTT Algorithm removes the confusing triangle from the tracking of the video sequence effectively. The experimental results show that the proposed algorithm precisely tracks the varied pose of a fatigue driver in real-time video frames.