Method and system for detecting fatigue driving based on head and neck movement feature recognition of driver

A fatigue driving and feature recognition technology, which is applied to alarms, instruments, etc., can solve the problems of affecting accuracy, technical difficulty, and poor detection accuracy, and achieve the effects of easy implementation, high detection and recognition accuracy, and low requirements

A fatigue driving and feature recognition technology, which is applied to alarms, instruments, etc., can solve the problems of affecting accuracy, technical difficulty, and poor detection accuracy, and achieve the effects of easy implementation, high detection and recognition accuracy, and low requirements

CN103198616AInactive Publication Date: 2013-07-10CHONGQING UNIV

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  • Method and system for detecting fatigue driving based on head and neck movement feature recognition of driver
  • Method and system for detecting fatigue driving based on head and neck movement feature recognition of driver

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Embodiment Construction

[0033] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0034] A fatigue driving detection method based on driver's head and neck movement feature recognition, the detection steps are:

[0035] 1) A camera is installed on the side of the driver's seat in the car, and the camera is used to collect images of the driver's head and neck from the side; specifically, the cameras are installed on both sides of the driver, and there are one or two cameras on one side.

[0036] 2) The image processing unit saves a set of images collected by the camera in step 1) every interval T, and uses the difference between the image features of the human skin and the environment inside the car to draw the contour line of the side image of the driver's head and neck Extraction; specifically, the images collected by all the cameras are fused to form a stereoscopic image, and the image processing unit extracts the contour...

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Abstract

The invention discloses a method and a system for detecting fatigue driving based on head and neck movement feature recognition of a driver. The method comprises the following steps: (1) arranging a camera on the side face of a driving position in a car, and collecting images of the head and neck part of the driver from the side face; (2) storing a group of images collected by the camera in the step (1) through an image processing unit at intervals of time T, and abstracting contour lines of head and neck side images of the driver; and (3) forming head and neck movement features of the driver according to a plurality of groups of continuous contour lines of the head and neck side images of the driver, wherein the continuous contour lines of the head and neck side images of the driver are obtained from the step(2), comparing the head and neck movement features of the driver with the head and neck movement features when a human body is in a sleepy state, carrying out judgment, if the head and neck movement features of the driver conform to sleepy state requirements, considering the driver to be fatigue driving and sending an alarm prompt, or else, repeating the step (2), and keeping operation continuously and circularly. The method and the system for detecting fatigue driving based on head and neck movement feature recognition of the driver have the advantages that detecting recognition accuracy is high, the requirements for an image processing algorithm and corresponding hardware are low, and implementation is easy.

Description

technical field [0001] The invention relates to a fatigue driving detection method and system, in particular to a fatigue driving detection method and system based on driver head and neck movement feature recognition. [0002] Background technique [0003] With the continuous increase of the total highway mileage and the number of motor vehicles, and the increase of vehicle speed, road traffic accidents in my country are increasing year by year, and the number of major accidents and casualties is on the rise. It has become a threat to the safety of people's lives and property and the sustainable development of society. Serious Problem. In many traffic accidents, the driver's human factor has become one of the main factors of traffic accidents. Research and analysis by scientists in the United Kingdom and the United States shows that road traffic accidents caused by drivers themselves account for 57% to 65% of the total number of traffic accidents, and accidents caused by fa...

Claims

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Application Information

Patent Timeline
10 Jul 2013
Publication
CN103198616A
IPC
G08B21/06
Inventors
雷剑撅; ι™ˆζ—»