Locomotive driver real-time video fatigue detection method

Abstract

The invention discloses a locomotive real-time video fatigue detection method. The method comprises the following steps: a camera is opened to extract a video frame, a human eye region is determined as a target tracking region, a CamShift tracking algorithm is used for acquiring an initial rectangular region, a reducing region method is then used to obtain a left-eye region after reducing processing, when the center of the left-eye region after reducing processing is not in the edge of the video frame, a left-eye rectangular region is obtained by the left-eye region after reducing processing, the left-eye rectangular region is subjected to image processing to extract a left-eye profile, the height-width ratio S of the minimum external rectangle of the left-eye profile is calculated, the eye opening times and the eye closing times of the left eye and the right eye are counted, the ratio of frames with the eyes in closing states to the total frames in the detected video frames in a set time period is calculated, when the ratio is smaller than a set value, whether effective operation on the locomotive by the driver is carried out is judged, and if not, an alarm is given. Fatigue driving by the locomotive driver can be effectively prevented, safety locomotive operation is ensured, and the front detection effects on the locomotive driver are particularly significant.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a method for real-time video fatigue detection, in particular to a real-time video fatigue detection method for locomotive crew members. Background technique [0002] Because of the characteristics of the locomotive crew work and the wheeling work system, the crew's sleep is irregular, and it is easy for the crew to accumulate fatigue before they are on duty, and when they are on duty, the crew must always pay attention to the status of various instruments, look around the track and surrounding areas In case of any situation, observe the signal indication, excessive use of the eyes can easily cause fatigue. At the same time, flight attendants must also deal with possible emergencies at any time, resulting in a long-term mental tension, which can easily lead to mental fatigue. Excessive fatigue will reduce the reaction speed of flight attendants, and prolonged fatigue will...

AI Technical Summary

Problems solved by technology

[0004] At present, most of the real-time video fatigue detection methods for car drivers are affected by the light. In the case of complex light conditions, the reliability and stability are insufficient, and the existing detection systems are relatively expensive, and they are mostly installed on high-end cars. , but the practicability is not strong, which is not conducive to promotion

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