Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Face detection method and system

A face detection and face area technology, which is applied in image data processing, instrument, character and pattern recognition, etc., can solve problems such as inability to meet fast real-time detection and complex calculation, and achieve simple and fast detection.

Active Publication Date: 2010-06-16
NETPOSA TECH
View PDF0 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods are often computationally complex and cannot meet the needs of rapid real-time detection

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
  • Face detection method and system
  • Face detection method and system
  • Face detection method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] Such as figure 1 as shown, figure 1 It is a schematic flow chart of the face detection method in the present invention, and the face detection method specifically includes:

[0053] Step 1: Preprocess the image, grayscale the color image and reduce the image resolution;

[0054] Step 2: image processing, including obtaining connected regions and obtaining integral images; said obtaining connected regions is to obtain connected regions by performing image binarization, edge image extraction, face region splitting and connected region analysis on the current frame image; The acquisition of the integral image is to obtain the integral image by performing image difference processing on two adjacent frames of images.

[0055] Step 3: Select the candidate face area, and select the candidate face area according to the obtained connected area and integral image;

[0056] Step 4: Verify the candidate face area, filter out the false face area through the judgment condition, an...

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

The invention discloses face detection method and system for detecting driver fatigue. The method comprises the following steps of: image preprocessing: greying a color image and reducing the image resolution; image processing: acquiring a connected region and an integral image, wherein the acquisition of the connected region is realized by carrying out image binaryzation, edge image extraction, face region decomposition and connected region analysis on the current frame image, and the acquisition of the integral image is realized by carrying out image difference on every two adjacent frame images; selecting the face region of the candidate according to the acquired connected region and integral image; and verifying the face region of the candidate, filtering out the required false face region by using the judgment conditions, and outputting the face region. The invention can be used for detecting driver fatigue, realizes the driver's face detection, and has the advantage of simple and quick detection.

Description

technical field [0001] The invention relates to video surveillance technology, in particular to a face detection method and system for driver fatigue detection. Background technique [0002] Driver fatigue and lack of sleep are one of the important causes of serious traffic accidents. Statistics show that traffic accidents caused by fatigue / drowsiness account for about 7% of the total number of traffic accidents, 40% of serious traffic accidents, and 35% of traffic accidents on heavy trucks and highways. Therefore, it is of great significance to effectively monitor and prevent driver fatigue. [0003] Fatigue detection is a process of real-time detection and appropriate warning of driver fatigue during driving. It has the following requirements: 1) It must be non-interfering; 2) It must be real-time; 3) It must be illuminated 4) No harmful radiation, not including mobile devices. [0004] Among the various detection methods that can meet the above requirements and the eff...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/60
Inventor 杨学超魏昱宁王华袁雪庚菅云峰
Owner NETPOSA TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com