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

Method for detecting illegal lane change of vehicle based on video detection technique

A technology of video detection and detection method, applied in the field of intelligent transportation, can solve problems such as working life, use environment and reliability

Active Publication Date: 2014-04-16
ZHEJIANG UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Their shortcomings Toroidal coil detectors need to destroy the existing road ground to install the ground sense coil, and there are problems with working life, use environment and reliability

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 illegal lane change of vehicle based on video detection technique
  • Method for detecting illegal lane change of vehicle based on video detection technique
  • Method for detecting illegal lane change of vehicle based on video detection technique

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] The present invention will be further described below in conjunction with accompanying drawing.

[0082] Step (1). Moving vehicle detection

[0083] The video signal is composed of a video frame sequence, and the moving vehicle detection is to extract the moving vehicle in each frame of the video frame sequence.

[0084] In view of the characteristics of complex and changeable illumination and high noise in tunnel applications, a target detection algorithm based on the difference depth accumulation background difference method is selected. The effects of noise and real moving targets can basically eliminate the influence of noise. The flow chart of target detection based on difference depth accumulation background difference method is as follows: figure 1 Shown:

[0085] 1-1. Preprocessing

[0086] Convert the input video frame image from RGB format to 8-bit grayscale image.

[0087] 1-2. Background modeling

[0088] First, select the adjacent video frame sequence...

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 detecting an illegal lane change of a vehicle based on a video detection technique. In traditional detection for traffic incidents, a large quantity of annular coil detectors need to be physically embedded under roads, or ultrasonic detectors need to be installed at road side. The method provided by the invention comprises the following steps of: step (1), detecting moving vehicles; step (2), positioning the moving vehicles based on a watershed algorithm; step (3), performing kalman filter tracking based on secondary characteristic matching, wherein the step (1) comprises the steps of preprocessing, background modeling, moving object extraction and postprocessing; and the step (2) comprises the steps of inputting established background and foreground binaryzation images, performing V-S watershed algorithm on the input background and foreground binaryzation images, setting internal memory for storing statistic information, establishing field chain tables, combining minimum zones and similar zones and outputting zone statistic information of a moving object. The method provided by the invention has strong antijamming capability, can effectively eliminate isolated noise and is beneficial to extracting vehicle foreground information in a more accurate way.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and relates to image processing and video detection technology, in particular to a detection method for vehicles illegally changing lanes based on the video detection technology. Background technique [0002] With the rapid development of my country's economic and social construction, car ownership has also increased step by step. The increase in car ownership has led to increased road traffic congestion, frequent traffic accidents, serious energy waste, and deterioration of environmental quality. [0003] Among them, illegal lane changing is a very common traffic violation event. According to statistics, more than half of the traffic accidents are related to illegal lane changing, which shows that it is extremely harmful. Therefore, the detection of illegal lane changes has important practical significance. [0004] Traditional traffic incident detection systems need to phys...

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): G08G1/01G06K9/32G06T7/20
Inventor 厉小润杨平
Owner ZHEJIANG UNIV
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