Driver fatigue detection method and system based on computer vision

A driver fatigue, computer vision technology, applied in computer parts, calculations, instruments, etc., can solve the problem of inability to take into account non-contact and detection accuracy, so as to reduce the accident rate, improve detection accuracy, and prevent dangerous accidents. Effect

Pending Publication Date: 2019-06-25
YANGZHOU UNIV
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[0004] The purpose of the present invention is to provide a driver fatigue detection method and system based on computer vision to

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  • Driver fatigue detection method and system based on computer vision
  • Driver fatigue detection method and system based on computer vision
  • Driver fatigue detection method and system based on computer vision

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[0068] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0069] The purpose of the present invention is to provide a driver fatigue detection method and system based on computer vision, judge the fatigue state according to the mechanism of human fatigue expression, adopt the detection algorithm based on landmark to the driver's blinking and yawning to solve the problem of contact between the sensor and the driver defects, with real-time and high accuracy, and high practicability.

[0070] In order to make the above ...

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Abstract

The invention discloses a driver fatigue detection method and system based on computer vision. The method comprises: firstly, a camera is called to collect a driver face video; Then, the face is positioned through an AdaBoost classifier algorithm of the Harr-like feature; then, blinking and yawing detection are carried out by utilizing the Landmark to prompt fatigue; and finally, positioning humaneyes through picture preprocessing, judging fatigue according to a PERCLOS algorithm criterion, and carrying out early warning. According to the method, fatigue early warning is carried out on the driver by combining a PERCLOS human eye detection algorithm and a human face key point extraction algorithm, non-contact performance and real-time performance are achieved, interference on normal driving of the driver is avoided, and fatigue detection is more accurate, more efficient and faster.

Description

technical field [0001] The invention relates to the technical field of image detection, in particular to a computer vision-based driver fatigue detection method and system. Background technique [0002] According to the statistics of the traffic department, the number of deaths due to road traffic accidents has continued to increase in recent years. Fatigue driving of motor vehicle drivers is an important cause of traffic accidents. Many experts and scholars are actively researching methods for detecting fatigue driving. How to effectively prevent fatigue driving has become a domestic research hotspots. [0003] Traditional driver behavior detection algorithms based on physiological signals and behavioral features have their advantages and disadvantages. Among them, the detection algorithm based on physiological signal features has high precision, but because the sensor is in contact with the driver, driving is affected; the detection algorithm based on behavioral features ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
Inventor 韩雪张正华叶傲斌李斌曹永忠徐颖仪陈豪闻栋
Owner YANGZHOU UNIV
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