Sight tracking and fatigue early warning method

Abstract

The invention discloses a sight tracking and fatigue early warning method, and belongs to the technical field of intelligent traffic. The method comprises the step of obtaining the information of the driver face through a mini-type camera, the step of controlling starting and stopping of a near axial infrared controllable light source and a far axis infrared controllable light source, the step of starting the near axial infrared controllable light source at the odd number frame, the step of starting the far axis infrared controllable light source at the even number frame, and the step of determining the position of the human eye pupils in a video sequence after the difference calculation according to the human eye pupil reflection characteristics. After the pupil positioning through the image difference frequency is carried out based on an infrared effect under infrared light, the sight projection position is reversely calculated according to the pupil center position and the feature recognition points of a vehicle-mounted displayer, and fine adjustment or fine calibration can be carried out according to the user individual difference in the calculation process. Compared with other control methods, the time for obtaining the eye characteristics of a driver can be effectively shortened, the interference caused by the ambient light change is avoided, and the sight information of the driver can be rapidly and accurately obtained.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, in particular to a line of sight tracking and fatigue warning method. Background technique [0002] The driver's visual behavior is one of the main factors affecting road traffic safety, so the driver's gaze tracking technology has become a research hotspot in the field of intelligent transportation. This patent will be based on the latest achievements of advanced automobile active safety and modern control theory, and will analyze the difference of driver's dynamic vision under different road conditions by carrying out research on vehicle-mounted micro-sight tracking and early warning technology. Through the statistics of the driver's eye movement characteristic parameters in different driving environments, the overall characteristics of the driver's gaze and glance behavior on different road sections are analyzed, and the significance of the influence of the driver's dynamic ...

AI Technical Summary

Problems solved by technology

When the driver is driving, 95% of the visual information is dynamic. During the driving process, as the speed of the car increases, the driver's gaze point moves forward, the field of vision becomes narrower, and the sense of perimeter decreases. To a certain extent, the driver's field of vision becomes narrower, the sense of perimeter decreases, which means the field of vision is defective, and the sensitivity of the field of vision decreases, which means that the ability to perceive information is reduced, which can easily cause traffic accidents

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