Fatigue driving detection method and system based on facial feature fusion

A facial feature, fatigue driving technology, applied in computer parts, instruments, character and pattern recognition and other directions, can solve the problems of long time, complex methods, high hardware requirements, etc., to ensure real-time, improve accuracy, and ensure accurate sexual effect

Inactive Publication Date: 2019-12-03
ZHENGZHOU UNIV
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AI Technical Summary

Problems solved by technology

Although this method can realize the positioning of the human face, Adaboost cannot accurately locate the position of the human face when the driver wears glasses, sun glasses, light changes, and partial facial occlusion, and thus cannot accurately judge fatigue driving.
For this reason, some people propose to use the MTCNN algorithm wit...

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  • Fatigue driving detection method and system based on facial feature fusion
  • Fatigue driving detection method and system based on facial feature fusion
  • Fatigue driving detection method and system based on facial feature fusion

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Embodiment Construction

[0046] The specific implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0047] method embodiment

[0048] The present invention first collects the image information of the state of the driver in real time; then utilizes the face detection algorithm to locate the face area of ​​a frame of image information in the collected image information, and uses the located face area as the target area to perform dynamic Tracking to obtain the facial area of ​​each frame image of the driver; then perform facial feature point extraction on the facial area of ​​each frame image of the acquired driver to obtain the coordinates of facial feature points including eyes and / or mouth; finally according to the obtained facial features The coordinates of the points determine the blinking frequency and / or the yawning frequency, and the driver's fatigue state is judged according to the blinking frequency and / or the yawning fr...

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Abstract

The invention relates to a fatigue driving detection method and system based on facial feature fusion, and belongs to the technical field of fatigue driving detection. The method comprises the following steps: firstly, carrying out face region positioning on a frame of image in acquired image information through a high-precision face detection algorithm, ensuring the accuracy of face position recognition; dynamically tracking the rest frames of images by taking the positioned face area as a target; obtaining a face area of each frame of image of the driver. On the basis that a high-precision face detection algorithm is not continuously adopted, face position recognition of other frames of images is achieved through a dynamic tracking algorithm with less time consumption, the face positioncan be accurately detected, the judgment accuracy of fatigue driving is improved, and the real-time performance of the detection algorithm can be guaranteed.

Description

technical field [0001] The invention relates to a fatigue driving detection method and system based on facial feature fusion, belonging to the technical field of fatigue driving detection. Background technique [0002] At present, the commonly used fatigue driving detection methods mainly include methods based on physiological information, methods based on computer vision and methods based on changes in vehicle driving behavior. The method based on physiological information is the method with the highest accuracy rate in fatigue driving. Physiological signals such as electroencephalogram (EEG) / electrocardiogram (ECG) / electromyogram (EMG) can reflect the driver's condition in a timely and accurate manner. Fatigue degree, the disadvantage is that the measuring instrument is expensive and needs to be worn by the driver on the body, which interferes with normal driving and affects comfort; the method based on vehicle driving behavior is non-invasive and does not interfere with t...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/172G06V40/161G06V40/168G06V20/597
Inventor 朱晓东李庆臣庆隆阳
Owner ZHENGZHOU UNIV
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