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

Traffic light positioning method

A positioning method and technology of traffic lights, applied in traffic control systems, traffic flow detection, traffic control systems of road vehicles, etc., can solve problems such as failure and accuracy reduction.

Active Publication Date: 2015-08-19
宁波中国科学院信息技术应用研究院 +1
View PDF6 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the traffic light recognition method adopted by the video surveillance system fixed at the traffic intersection is based on the premise of accurate traffic light positioning, and when the position of the traffic light in the video image shakes or shifts, this traffic light recognition method The accuracy rate will be greatly reduced or even completely invalid

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
  • Traffic light positioning method
  • Traffic light positioning method
  • Traffic light positioning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0050] A traffic light positioning method proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, it includes the following steps:

[0051] ① Define the smallest rectangular area where the traffic light is located in the nth frame of the intersection image currently to be processed in the traffic intersection monitoring video acquired in real time as the current target area, denoted as CT n ; put CT n The position in the intersection image of the nth frame is represented by CT n The coordinate position of the upper left corner pixel point in the intersection image of the nth frame is expressed as (x w ,y w ); and CT n The area of ​​is denoted as A light , A light =X×Y; Wherein, the initial value of n is 0, 0≤n≤N-1, and N represents the total frame number of the intersection image that co...

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 traffic light positioning method. The method comprises: expanding an object region where traffic lights are in in advance, obtaining a constraint region, and performing binaryzation on a grayscale image of the constraint region, extracting proportion of bright regions, the number of small area bright regions, the number of standard light area bright regions, the number of large area bright regions, and the average gray value of dark regions from binarization images, according to the features, determining day or night of an intersection image where the object region is in, if the image is a night image, detecting signal lights whose states are lightened through the binarization image, and according to the positions of the signal lights, adjusting positions of the traffic light; if the image is a day image, detecting a black frame in a traffic light structure through the binaryzation image, and according to the position of the black frame, adjusting the positions of the traffic light. The method is advantaged by low calculation complexity, fast operation speed, good environment adaptability, and simple realization.

Description

technical field [0001] The invention relates to a computer vision recognition technology, in particular to a traffic light positioning method. Background technique [0002] With the progress of society and the development of economy, the intelligent transportation system formed by introducing pattern recognition and electronic information technology has attracted the general attention of governments and transportation departments of various countries. The recognition of traffic signs is an important part of the intelligent transportation system and an important academic branch of machine learning research, which involves many technical fields such as pattern recognition, image processing, digital signal processing, artificial intelligence, communication technology and information theory. At present, the identification of the status of traffic lights mainly relies on the video surveillance system installed at traffic intersections to obtain information such as whether the veh...

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): G08G1/01G06K9/46
CPCG08G1/0175G06V20/40
Inventor 陈辰黄晁张从连袁小平戎鲁凯
Owner 宁波中国科学院信息技术应用研究院
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