Fatigue driving early-warning method based on expression recognition

A technology for expression recognition and fatigue driving, applied in the field of computer vision, can solve the problems of inaccurate driver fatigue driving detection, achieve the effect of solving inaccurate detection, reminding fatigue driving, and improving accuracy

Inactive Publication Date: 2018-10-16
WUYI UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention provides a fatigue driving early warning method based on expre

Method used

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  • Fatigue driving early-warning method based on expression recognition
  • Fatigue driving early-warning method based on expression recognition
  • Fatigue driving early-warning method based on expression recognition

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Embodiment Construction

[0029] Such as Figure 1-7 As shown, the embodiment of the present invention provides a method for early warning of fatigue driving based on expression recognition, comprising the following steps:

[0030] S1. Acquiring images: the image information is captured by several cameras fixed in front of the driving position of the vehicle body, and the image information is processed in the next step; preferably, in step S1, the number of cameras is at least 3, and according to the three-dimensional pattern The three-dimensional panoramic monitoring camera is arranged in an equilateral triangle mode and is fixed on the vehicle frame directly facing the front of the main driver's seat.

[0031] S2. Face recognition and segmentation: face recognition is performed on the image information, and the recognized image is subjected to face area segmentation, and the face area information is extracted for the next step of processing; preferably, the step S2 is specifically: S21, using The fi...

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Abstract

The invention relates to the technical field of computer vision, and particularly discloses a fatigue driving early-warning method based on expression recognition. The method comprises the following steps of S1, obtaining images; S2, conducting face recognition and division; S3, conducting expression recognition; S4, pre-outputting a recognition result, wherein according to the expression recognition result at the last step, the preliminary recognition result is output; S5, judging whether the result meets the requirement or not, and if not, executing S1-S4 again; if yes, executing S6; S6, outputting the recognition result. By means of the fatigue driving early-warning method, big data is utilized for training a fatigue expression recognition network model, driver facial expressions whichare collected in real time are input to the model, a face image area is recognized and divided, expression analysis is conducted, and finally, whether a driver is in a fatigue driving state or not isjudged. The defect in the prior art that detection of fatigue driving of the driver is inaccurate is effectively overcome, the precision of detecting fatigue driving of the driver is improved, and thus the purpose of effectively reminding prevention of fatigue driving of the driver is achieved.

Description

technical field [0001] The invention relates to the technical field of computer vision, and more specifically, to a fatigue driving early warning method based on expression recognition. Background technique [0002] Fatigue driving is one of the important factors leading to traffic accidents. The fatigue driving warning system can remind the driver in time when the driver is in a state of fatigue. This plays an important role in preventing the occurrence of traffic accidents caused by fatigue driving and avoiding the huge expense losses caused by accidents. [0003] There are two types of driver fatigue detection methods disclosed at present. 1. Collect the driver's heart rate information and EEG information, and then conduct a comprehensive analysis. However, the detection equipment will bring great inconvenience to the driver. In addition, the price of various detection equipment will also bring a large economic burden to the driver, so the feasibility is not high. 2. ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G08B21/06
CPCG08B21/06G06V40/174G06V40/172G06V40/161G06V20/597
Inventor 应自炉龙祥甄俊杰赵毅鸿
Owner WUYI UNIV
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