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Driver fatigue detection method based on face video analysis

A technology of fatigue detection and video analysis, which is applied in computer parts, instruments, character and pattern recognition, etc., can solve the problems of inability to accurately capture local features and deficiencies of the eyes, and achieve high reliability and speed up detection

Active Publication Date: 2011-11-23
TSINGHUA UNIV
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Problems solved by technology

However, the robustness of such methods is currently not enough to make it applicable to sufficiently complex practical driving situations, such as under changing lighting conditions, when the driver is in an abnormal posture, different angles, different expressions, wearing glasses or sunglasses, Such methods may not be able to accurately capture the corresponding eyes or other local features and fail

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  • Driver fatigue detection method based on face video analysis
  • Driver fatigue detection method based on face video analysis
  • Driver fatigue detection method based on face video analysis

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Embodiment Construction

[0014] The present invention proposes a driver fatigue detection method based on facial video analysis in conjunction with the accompanying drawings and embodiments in detail as follows:

[0015] The method of the invention performs final fatigue detection by automatically detecting and tracking the motion characteristics of facial organs such as eyes and mouth, and counting facial motion indicators within a certain period of time. Specific steps such as figure 1 shown, including:

[0016] 1) Use the AdaBoost algorithm to perform face detection in the current face image to be detected, find the position of the face, and further perform preliminary positioning of the eyes, nose, and mouth parts;

[0017] 2) Based on the results of the preliminary positioning of the facial organs, perform facial feature point positioning to obtain accurately positioned facial feature points;

[0018] 3) Based on the results of the current facial feature point location to be tested, the feature...

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Abstract

The invention relates to a driver fatigue detection method based on face video analysis, belonging to the field of vehicle active safety and mode recognition. The method comprises the steps of: carrying out face detection on a face image to be detected for primarily positioning local organs, such as eyes, nose and mouth; further obtaining face characteristic points positioned accurately; and finally, on the basis of an accurate positioning result of multiple frames of face characteristic points to be detected, carrying out quantization description on a face motion characteristic, and obtaining the result of fatigue detection on a driver to be detected according to a face motion statistical indicator. The driver fatigue detection method has high reliability, has no special requirements on hardware, does not involve complex operation, and has good instantaneity so as to be applied in real time in practice. The driver fatigue detection method has better robustness on the aspects of eyeglasses wearing, face angles, nonuniform illumination and the like, and can be suitable for various types of vehicles for reminding a driver of being in a fatigue state so that traffic accidents are avoided.

Description

technical field [0001] The invention belongs to the field of automobile active safety and pattern recognition, in particular to a method for detecting driver's fatigue state based on facial video analysis. Background technique [0002] Fatigue driving is widely considered to be one of the important causes of road traffic accidents. Statistics show that the proportion of personal injury and direct property damage caused by fatigue driving is higher than that of fatigue driving accidents itself, and a considerable proportion of drivers have experienced fatigue driving. Relevant studies have shown that the development of a high-performance driver fatigue state monitoring system can greatly reduce traffic accidents caused by fatigue driving by monitoring the driver's fatigue state in real time and prompting early warning information to the driver. [0003] The existing fatigue detection method of facial expression analysis is to estimate the fatigue state of the driver by captu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/66
Inventor 成波王珂李家文
Owner TSINGHUA UNIV
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