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

A driver's safety belt wearing identification method for intelligent transportation system

An intelligent transportation system and seat belt technology, applied in the field of computer vision, can solve problems such as the inability to wear seat belts, and achieve the effects of improving algorithm recognition rate, strong robustness, and improving recognition accuracy

Active Publication Date: 2020-05-22
SOUTH CHINA UNIV OF TECH
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this driver seat belt wearing detection method needs to preset the width and wearing angle of the seat belt, and cannot be used for all types of seat belt wearing situations

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
  • A driver's safety belt wearing identification method for intelligent transportation system
  • A driver's safety belt wearing identification method for intelligent transportation system
  • A driver's safety belt wearing identification method for intelligent transportation system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be further described below in conjunction with specific examples.

[0044] Such as figure 1 As shown, the driver's safety belt wearing recognition method for the intelligent transportation system provided by this embodiment, its specific circumstances are as follows:

[0045]1) Use the license plate location algorithm based on color and texture features to identify the license plate area of ​​the bayonet image to be detected.

[0046] 2) Use the license plate area to perform rough positioning of the window area, such as figure 2 As shown, then use the method based on integral projection and MBI feature to extract the precise area of ​​the window, including the following steps:

[0047] 2.1) According to the license plate recognition, the length of the license plate is L, and the license plate is the coordinate center, and the left and right are k 1 ×L, down to k 2 ×L, up to k 3 ×L intercepts the bayonet image to obtain the rough position...

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 a method for recognizing the wearing of a driver's seat belt for an intelligent transportation system. Coarse positioning of the window area, using the method based on integral projection and MBI feature to extract the precise area of ​​the window; 3) Extract the driver's position area according to the window area; 4) Segment the seat belt area from the driver's position area; 5) Select the label's The seat belt area image is used as a training sample, the HOG feature is extracted, and the SVM classifier is used for training; 6) Use the trained seat belt wearing recognition classifier to recognize the image to be detected. The invention can accurately identify the driver's seat belt wearing condition from the bayonet image, adds MBI feature detection, does not need to set the width or slope of the seat belt, and improves the robustness and real-time performance of the algorithm.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a driver's safety belt wearing recognition method for an intelligent traffic system. Background technique [0002] Every year, more than 50,000 people die in traffic safety accidents in my country, and a large proportion of the dead did not wear seat belts. As a very important passive safety equipment in motor vehicles, seat belts can effectively protect the personal safety of drivers and passengers. According to statistics, when a vehicle has a frontal collision, wearing seat belts can reduce the accident fatality rate by 57%. my country's traffic law stipulates that passengers in the front seats of motor vehicles must wear seat belts. The research on the wearing condition of the driver's seat belt in the motor vehicle and the automatic recognition of the wearing condition of the driver's seat belt have become an important topic in the intelligent transportation system....

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 Patents(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/62
CPCG06V20/597G06V30/153G06F18/2411
Inventor 朱烙盛
Owner SOUTH CHINA UNIV OF 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