A Lane Line Locating Method in Traffic Surveillance Video

A technology of traffic monitoring and positioning method, applied in image data processing, instruments, computing and other directions, can solve the problems of division in different areas, low edge positioning accuracy, wrong detection of lane lines, etc., to reduce complexity, application Convenience and improved accuracy

Active Publication Date: 2017-03-15
NANJING NANYOU INST OF INFORMATION TECHNOVATION CO LTD
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AI Technical Summary

Problems solved by technology

First of all, the Sobel operator has the disadvantages of low edge positioning accuracy and many false edges in edge detection.
Secondly, the division of the small detection area is based on the average interval, so that the same lane line may be divided into different areas; the division in the small area may also contain road signs, so what is detected is the wrong detection of lane lines caused by road signs. And when the lane line is a curve, it is easy to cause wrong detection of the lane line

Method used

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  • A Lane Line Locating Method in Traffic Surveillance Video
  • A Lane Line Locating Method in Traffic Surveillance Video

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Embodiment Construction

[0032]The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0033] Such as figure 1 As shown, the present invention designs a kind of lane line positioning method in traffic surveillance video, comprises the following steps:

[0034] Step 001. For the non-moving object image captured by the traffic monitoring camera, obtain the road area image in the non-moving object image, and perform grayscale processing on the road area image to obtain the road area grayscale image;

[0035] Step 002. For the gray-scale image of the road area, use an adjustable filter to perform convolution filtering processing with a two-dimensional Gaussian kernel filter convolution along the horizontal direction and the vertical direction, wherein the vertical direction uses a Gaussian smoothing kernel filter. Convolution filter processing, the horizontal direction uses a difference Gaussian kernel filter ...

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Abstract

The invention relates to a method for positioning lane lines in traffic surveillance videos. For improving the prior art, an adjustable filter is adopted for edge detection, and thus, the edge information of lane lines is very clear; image threshold processing is carried out by using the global threshold method, which enables as many pixels of lane lines to be obtained as possible and reduces the interference of non-lane line pixels; at last, the detection of the positions of lane lines is realized accurately by using Hough Transform. The amount of computation is reduced and the complexity is lowered while the detection accuracy is enhanced, and thus, the method is applied more conveniently; the working efficiency of surveillance cameras for detecting traffic offence of line pressing of vehicles is enhanced effectively.

Description

technical field [0001] The invention relates to a lane line positioning method in a traffic monitoring video. Background technique [0002] With the rapid development of the transportation industry and the sharp increase in the number of cars, the urban road traffic order has become more and more complicated, and various vehicle violations emerge in endlessly. Vehicle line pressing is a serious traffic violation. Detecting vehicle pressure lines has certain practical value, and accurately locating the position of lane lines is an important prerequisite for realizing vehicle pressure line detection. [0003] For the location of lane lines in vehicle line violations, researchers at home and abroad have proposed many lane line detection methods based on vision. Among the many lane line recognition algorithms, Hough transform is one of the most commonly used methods. The recognition of lane lines is mainly composed of two parts. One is the feature extraction part of lane lines....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/13
Inventor 李晓飞陈小燕吴鹏飞刘浏
Owner NANJING NANYOU INST OF INFORMATION TECHNOVATION CO LTD
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