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Head posture detecting method for fatigue driving detection

A head posture, fatigue driving technology, applied in applications, computer parts, diagnostic recording/measurement, etc., to achieve high precision and speed

Inactive Publication Date: 2019-06-14
BEIJING UNION UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] A good head pose estimation algorithm is more robust to factors such as illumination, noise, and occlusion, but so far how to improve the accuracy and robustness of pose estimation is still a major challenge in the field of computer vision

Method used

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  • Head posture detecting method for fatigue driving detection
  • Head posture detecting method for fatigue driving detection
  • Head posture detecting method for fatigue driving detection

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Embodiment Construction

[0039] The main idea of ​​the present invention is to propose a head posture estimation method for fatigue detection based on the powerful learning ability of deep learning. The specific implementation steps are as follows:

[0040] In the image acquisition part, the vehicle-mounted camera is used to acquire the driver's face;

[0041] The face detection part uses the face detector to detect the face area of ​​the face;

[0042] The present invention uses the dlib face detector to detect faces. dlib is a library that contains a bunch of algorithms for machine learning, computer vision, image processing, and more. First, load the frontal_face_detector that comes with dlib as our face detector; second, load the official model to build a feature extractor; third, use the detector for face detection; finally, output the number of faces and each face rectangle The coordinates of the center point of the area and the width and height of the rectangle.

[0043] Use deep convolution...

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Abstract

The invention discloses a head posture detecting method for fatigue driving detection. An image acquiring portion, a face detecting portion, a head posture fatigue feature extracting portion and a fatigue alarm portion are included. A vehicle-mounted camera is mounted in front of a main driving position, and the camera is connected to a vehicle-mounted computer through a USB port and is debugged so that the driver's driving position can be correctly captured. A trained face detection model and a running program thereof are copied to a specified position of the vehicle-mounted computer and tested. A trained head posture estimation model and a running program thereof are copied to a designated position of the vehicle-mounted computer, and the head posture estimation model is debugged in combination with the debugged face detection model. Fatigue features of the head posture are extracted, and whether fatigue is determined according to the ratio of nodding frequency and the abnormal posture. The method can stably detect the head posture, and has certain feasibility and applicability.

Description

technical field [0001] The invention belongs to computer vision image processing technology, specifically a head attitude detection method for fatigue driving detection, which can be used to provide more timely prompt signals for fatigue driving detection. Background technique [0002] At present, my country's highway transportation industry is gradually prospering, and the number of cars is constantly increasing. The following road traffic safety problems have become increasingly serious. According to the relevant statistical survey of the Ministry of Public Security, traffic accidents caused by fatigue driving account for more than 20% of the total number of accidents. According to the survey conducted by the National Traffic Safety Administration in the United States in recent years, about 27% of the interviewees have had the experience of dozing off while driving. Traffic accidents caused by driving fatigue are usually much more serious than ordinary traffic accidents....

Claims

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Application Information

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IPC IPC(8): A61B5/11A61B5/18G06K9/00
Inventor 李学伟刘宏哲郑伟成徐成
Owner BEIJING UNION UNIVERSITY
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