关键词: 安全辅助驾驶, 机器视觉, 疲劳状态, 注意力状态

Abstract: Driver behavior surveillance and warning system plays an important role in reducing the traffic accidents.Monitoring and analyzing the fatigue and attention state by using the machine vision is one of hotspots in the assistant safe driving system.Machine vision affected by light condition is very serious，even impact on the reliability of the image processing algorithms.In special lighting conditions of low-light and bright light，the monitoring idea for fatigue state of the driver is introduced firstly.And then the algorithm is proposed that based on purkinje spots and gray variance locates the face of a driver，using the location of the extremums in the projective curve divides the facial organs into separate areas，obtains the location of the eye’s contours，and using PERCLOS to determine the mental state of the driver.Based on the result of the location of the face and organs of the driver，analyzing the rotary motion of the head，an algorithm for calculating the facial rotary angle of drivers is proposed and then a strategy is obtained used for judging whether the driver’s attention is disturbed or not.Practice proves that the algorithm proposed acts in real time and obtains excellent effect in special lighting conditions of low-light and bright light，which provide more accurate basis for analyzing the driver’s attention state.

Key words: safety driving assistant, machine vision, fatigue state, attention state