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Driving fatigue detection method and apparatus based on computer vision

A technology of computer vision and fatigue driving, applied in computer components, calculations, instruments, etc., can solve problems such as burden, affecting driving safety, driver interference, etc.

Inactive Publication Date: 2017-07-04
NIO CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned existing technical solutions have the following problems: since the electrodes in contact with the human body must be used when detecting the physiological parameters of the driver, it will cause interference and burden to the driver, thereby further affecting the safety of driving

Method used

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  • Driving fatigue detection method and apparatus based on computer vision
  • Driving fatigue detection method and apparatus based on computer vision
  • Driving fatigue detection method and apparatus based on computer vision

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Embodiment Construction

[0038] figure 1 It is a flowchart of a computer vision-based fatigue driving detection method according to an embodiment of the present invention. like figure 1 As shown, the fatigue driving detection method based on computer vision disclosed in the present invention includes the following steps: (A1) obtain the original video image of the driver in real time via the vehicle-mounted camera device; (A2) extract the original video image containing the driver's Each image frame of the facial image and use it as a target image frame; (A3) perform a facial feature point location operation for the target image frame to determine the facial feature points, then based on the obtained facial feature points from the target The target sub-image is intercepted and analyzed in the image frame to determine whether the driver is currently driving in fatigue, wherein the operation of locating facial feature points is based on a cascaded regression operation. Exemplarily, the vehicle-mounted...

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Abstract

The invention provides a driving fatigue detection method and apparatus based on computer vision. The method includes the following steps: an on-board camera apparatus real-time acquiring an original video image of a driver; extracting each image frame containing a face part image of the driver from the original video image and each image frame containing the face part image serving as an object image frame; for the object image frame, positioning face part characteristic points so as to determine face part characteristic points, then on the basis of the obtained face part characteristic points, intercepting the object image frame and analyzing the object sub-images so as to determine whether the driver is driving at fatigue, wherein positioning face part characteristic points is conducted based on cascade regressions operation. According to the invention, the method and the apparatus have high accuracy and convenience.

Description

technical field [0001] The present invention relates to a fatigue driving detection method and device, more specifically, to a computer vision-based fatigue driving detection method and device. Background technique [0002] At present, with the increasing development and popularization of vehicles, it is becoming more and more important to detect the driver's fatigue phenomenon (such as blinking, yawning, etc.) in real time to avoid accidents during driving. [0003] In existing technical solutions, typically based on the driver's physiological parameters (such as brain waves, eye waves, heart rate, etc.) to monitor whether the driver is fatigued, that is, by combining the real-time detected driver's physiological parameters Physiological parameters measured while awake are compared to determine the occurrence of fatigue phenomena. [0004] However, the above-mentioned existing technical solutions have the following problems: since electrodes in contact with the human body ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/597G06F18/24
Inventor 蒋海军
Owner NIO CO LTD
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