Method for detecting vehicle queue length based on local variance

A technology of queuing length and vehicles, which is applied in the field of intelligent transportation, can solve the problems of not considering false detection, large amount of calculation, complex vehicle detection algorithm, etc., and achieve the effects of small amount of calculation, reduction of traffic congestion, and improvement of road utilization rate

Active Publication Date: 2013-08-28
TONGJI UNIV
View PDF7 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing vehicle queue length detection methods generally have complex vehicle detection algorithms, large amount of calculation, and the problem of false detection caused by vehicle shadows in adjacent lanes is not considered when multi-lane detection is performed.

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
  • Method for detecting vehicle queue length based on local variance
  • Method for detecting vehicle queue length based on local variance
  • Method for detecting vehicle queue length based on local variance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] Such as figure 1 Shown: The process of performing the entire vehicle queue length detection.

[0036] The acquisition and presentation of the final vehicle queuing length by the traffic management system needs to be based on vehicle queuing detection. The specific process can be described as: through the installed camera, the front end of the system acquires the real-time incoming video from the camera, accurately analyzes and processes the video through the local variance algorithm provided by the present invention, and extracts the vehicle queuing prospect of the ROI in the region of interest , the camera calibration algorithm is used to calculate the actual length of the vehicle queue for the prospect of the vehicle queue, and the calculated final vehicle queue length data is transmitted to the background of the system. a reference for . (The length of the vehicle queue, as a traffic parameter, can be used to estimate the traffic flow of the road, and can also be u...

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 disclose a method for detecting a vehicle queue length based on a local variance, which is applied to the field of intelligent transportation, and particularly relates to a digital image processing and computer visual technique. The method comprises the following steps: putting forward an improved local variance method for performing vehicle detection; putting forward a combination of the improved local variance method and an LBP (Length between Perpendiculars) algorithm to remove vehicle shadows; and putting forward a method for reducing vehicle queue length calculation errors. The method for detecting the vehicle queue length has a small calculation quantity, and the problem of error detection of vehicles caused by vehicle shadows of lanes during multi-lane detection is solved. Due to the adoption of the method, functions of real-time control of traffic lights, measurement of traffic flow control indexes and the like can be realized; and the method plays important roles in maintaining traffic safety and urban security, increasing the road utilization ratios, reducing traffic jams, realizing automatic traffic management and intelligent city, and the like.

Description

technical field [0001] The method of the invention is applied to the field of intelligent transportation, and specifically relates to digital image processing and computer vision technology. Background technique [0002] With the continuous advent of high-performance computers and video equipment and the increasing demand for automatic analysis and understanding of video information, the analysis of video information has gradually developed into an important and popular research topic in the field of computer vision research in recent years, and has attracted More and more researchers. [0003] With the gradual acceleration of my country's urbanization process in recent years, traffic congestion has become more and more serious. Traffic congestion makes the incidence of traffic accidents higher, which not only aggravates environmental pollution, causes waste of resources, but also brings great inconvenience to people's travel. Faced with increasingly congested traffic and ...

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): G08G1/08
Inventor 蒋昌俊张亚英陈闳中闫春钢丁志军叶晨柴琴
Owner TONGJI UNIV
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