Vehicle violation line pressing detection method based on computer vision

Abstract

The invention discloses a vehicle violation line pressing detection method based on computer vision, and the method comprises the steps: 1, obtaining an image, carrying out the filtering and equalization processing, weakening the noise influence, and enabling the gray level distribution of the image to be uniform; 2, carrying out edge detection on the image processed in the step 1 by adopting a Canny edge detection algorithm, and carrying out image segmentation by adopting a threshold value; 3, using the Gaussian mixture background model to perform background modeling including background learning, background pixel matching, discontinuous contour processing and foreground cavity filling; 4, using Hough transformation to obtain linear information in the model obtained in the step 3, and performing AND operation on the linear image and a contour image detected by an original image Canny operator; 5, extracting features by using the moments of the image, and screening out a target straight line according to the length and angle of a straight line to be obtained during lane line detection by using the moment characteristics; and 6, judging whether line pressing violates rules or not according to the shielding condition of the lane solid line and the contour characteristics of the line pressing object.

Description

Technical field [0001] The invention relates to the technical field of intelligent traffic information, in particular, is a method for detecting vehicle line violations based on computer vision. Background technique [0002] With the improvement of living standards and the strengthening of transportation construction, various travel tools are increasingly being used in daily life. The rapid increase in the number and types of transportation has brought tremendous pressure on daily supervision, and the problem of vehicle violations has also increased. . Traditional supervision systems use manual discrimination to detect vehicle violations, which are inefficient and difficult to deal with complex traffic conditions. Therefore, intelligent discrimination of violations has become a demand, and the development of intelligent transportation systems has become a general trend. Violation pressure line is the most common violation, and accurate and efficient violation detection is extrem...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a computer vision-based method for detecting vehicle violations, which is used to solve the problem of inefficiency in the detection of vehicle violations by manual discrimination in the traditional supervision system in the prior art, and it is difficult to deal with complex traffic conditions. The problem

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