Real time driver fatigue warning system based on multi-source information fusion

A multi-source information fusion and driver fatigue technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of high computational complexity, sensitive target rotation, and lack of real-time performance, and achieve computing The effect of small amount, good robustness, and improved speed and accuracy

Active Publication Date: 2017-05-17
SHAANXI UNIV OF SCI & TECH
View PDF2 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The combination of traditional Kalman filter and mean shift algorithm can track the target, but it often fails to track when the target is fast moving and severely occluded. At the same time, the time cost of the algorithm cannot be ignored, and it cannot meet the real-time requirements.
[0004] In the prior art, grayscale projection is sensitive to face wearing glasses and posture changes, and the templat...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Real time driver fatigue warning system based on multi-source information fusion
  • Real time driver fatigue warning system based on multi-source information fusion
  • Real time driver fatigue warning system based on multi-source information fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0059] like figure 1 Shown: Randomly extract the dataset {X + ,X -}, construct positive and negative samples; use Haar feature extraction for samples to obtain M features, and use online learning to iteratively optimize the objective function along the steepest ascending gradient of positive samples and the steepest descending gradient of negative samples, adaptively Select features with strong classification ability to obtain a robust integrated classifier;

[0060] like figure 2 image 3 Shown:

[0061] Step1. The driver's face video is acquired in real time by the infrared camera, and the video is converted into an image sequence and transmitted to the controller through the video acquisition module;

[0062] Step2. The controller adopts the image network analysis algorithm to realize face detection, and first performs median filtering and histog...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

A real time driver fatigue warning system based on multi-source information fusion. Through the real-time acquisition of the driver's facial image from the infrared camera, median filtering of the face image and histogram equalization preprocessing are carried out. After the localization of the initial frame of human eye, the initial frame of the mouth is positioned, and then the real-time tracking is carried out. The OSTU algorithm was used to analyze the state of the eyes and mouth, and the state of the eyes and mouth was analyzed. Finally, the alarm system was activated by wireless transmission equipment when it is necessary according to the different levels of fatigue. The invention has the advantages of small overall operation amount, fast transmission rate, high detection precision and fast response speed, and has the advantages of more practicality and wider application range.

Description

technical field [0001] The invention relates to the technical field of driver fatigue early warning, in particular to a real-time driver fatigue early warning system based on multi-source information fusion. Background technique [0002] According to the Yearbook of Traffic Accidents: Fatigue driving often leads to serious traffic accidents, and 17% of fatal traffic accidents are caused by fatigue driving. However, drivers generally do not realize that they are driving fatigued before the accident actually occurs. Fast and accurate human eye and mouth positioning and tracking algorithms can improve the detection speed of fatigue driving status, which is of great significance to reduce the occurrence of traffic accidents. The fatigue detection system analyzes the fatigue state of the driver in real time, and sends corresponding early warning information when necessary according to the different levels of quantified fatigue. It can effectively avoid the occurrence of traffic ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00
CPCG06V40/161G06V20/597
Inventor 亢洁李静李玉婷马振李珍
Owner SHAANXI UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap