Driver Fatigue Detection Technology Based On The Video Image Information Extraction

With the increasing number of motor vehicles, the problem of traffic safety has become more and more concerned by the society. Research has shown that fatigued driving is one of the most dangerous factors which cause death in traffic accidents. Therefore, a system for monitoring the driver's level of vigilance and alerting the driver when he is fatigued is very important to prevent traffic accidents .Based on the researches at home and abroad, various methods of fatigue detection are analysed and compared. A non-contact, real-time method based on vision is studied in-depth. Key technologies of the method are presented, including face detection, eyes location and tracking, feature detection and fatigue recogonition.First of all, a real-time algorithm of face detection based on color is used to separate the color region from non-color region. So the face region is located accurately. Then, in the key process of eyes location, grayness projection algorithm is selected. The integral projection function and hybrid projection function are combined to acquire the eye's center accurately. And a real-time eye tracking algorithm combined with Kalman Filter and Mean Shift is integrated into the experiment to obtain a good effect of eyes tracking.On the above basis, some features of eyes are detected, including the irises, the eye corners and the upper eyelid. And a new eye model is proposed in the system. According to the model, the height of upper eyelid is detected to show the eyes' status.Finally, the PERCLOS method which is accepted as the most effective method of fatigue analysis currently is selected. The Eye blink frequency is also picked up to analyse the eyes' status.The software system based on the above technologies can detect the driver's eyes and recognize his fatigue in real time and the experiment result is very good in the laboratory environment.