Method and system for rapid traffic lane detection based on GrowCut

A detection method and detection system technology, applied in the field of image processing, can solve problems such as complex devices, low resolution of video images, poor lane line effects, etc., and achieve the effect of low operating cost and high reliability

Inactive Publication Date: 2011-08-17
SHANGHAI DIANJI UNIV
View PDF8 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The device of this invention is too complicated and is only suitable for situations where there are dotted and solid line marks and lane boundary lines are obvious
However, in the road condition cameras currently deployed in my cou

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 and system for rapid traffic lane detection based on GrowCut
  • Method and system for rapid traffic lane detection based on GrowCut
  • Method and system for rapid traffic lane detection based on GrowCut

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0025] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail with reference to the accompanying drawings. The invention provides a GrowCut-based rapid detection method for lane lines, such as figure 1 As shown, the specific steps include:

[0026] Step S1: Collect surveillance video and select at least one frame of image as a key frame;

[0027] First, collect surveillance video from a video camera, serialize the video image, and then select key frames from it. Such as figure 2 As shown, the method of collecting surveillance video and selecting at least one frame of image as a key frame includes method 1 and method 2, wherein method 1 includes the following steps:

[0028] Collect surveillance video and serialize it into multiple frames of images;

[0029] Select frames with higher definition and relatively obvious lane dividing lines from multiple frames of images as key frames...

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 rapid traffic lane line detection method based on GrowCut, which comprises the following steps of: acquiring surveillance video and choosing at least one frame of image as a key frame; demarcating an edge segmentation seed point in the key frame image; performing edge segmentation according to the GrowCut algorithm; performing smoothing filtering on the segmentation result by a median filter; performing edge extraction on the result of the smoothing filtering; performing bisection treatment on the edge extraction result; and fitting the traffic lane line through a polynomial curve fitting method according to the result of the bisection treatment to get the final traffic lane line. The invention further provides a system for rapid traffic lane line detection based on GrowCut. A traffic lance line detection system implemented through the method provided by the invention is high in reliability, low in operating cost and capable of being widely used in the fields of intelligent traffic and public security.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for quickly detecting lane lines based on GrowCut. Background technique [0002] Lane line detection is the primary link and key step in automatic calibration of PTZ cameras, intelligent video analysis, car assisted driving, and automatic navigation of outdoor robots. Features, separate the lane line from the background, and then obtain the direction of the lane line or the area range of the marked lane. The existing lane line detection methods mostly use the classic Hough transform and morphological methods, and the detection results are affected by factors such as video image resolution and road conditions, and the error is usually large. In addition, there are other methods. The literature retrieval results of the existing lane line detection technology are as follows: [0003] Patent Publication No. CN 101608924A discloses a lane line detection...

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): G06T7/00
Inventor 黎明
Owner SHANGHAI DIANJI 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