| With the development of social economy, the improvement of people’s living standard, In order to get the convenience of the life and work, more and more individuals and families owned their own car. The per capita car ownership is a sign of national economic development and the performance of improving People’s living standards. However, the increasing of the car brings a lot of negative effects, traffic jams, frequent accidents, etc. Accidents usually cause serious damage to victims and their families. According to statistics,"human accident","car accidents,""road accident" are the three main factors that cause traffic accident happened, and the "human accident" is the main reason."Human accident" occurred largely caused by the distraction of driver, who maybe fatigue, focuses on conversation with others or takes attention to affairs out of the car windows, etc.The general factors of driver attention can be summarized to two characteristics:one is fatigue, which can be measured by human eye blink frequency, yawning and dozing; other one is line of sight dispersion, which can be perceived by the orientation of the face. The work of this paper is mainly according to above two characteristics to carry out, in order to get the blinking, yawning and determine whether the driver is napping, it need to face detection, eye location and mouth positioning. In order to detect the gaze direction, we should to check the face orientation.According to above discriminate factors, we designed and developed the driver attention discriminate system, each frame processing time maintain in30ms or so, fully meet the real-time requirements, a large number of experiments showed that it has a high precision. And the algorithm of high precision, system has stable performance in everyday situations.The work in face detection, eye detecting and location, mouth location, faces orientation introduced in this article. At the end of this article, we briefly illustrated the driver attention discriminate system. |
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