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Detection Method of Vehicles Driving in Front Lane Based on Interval Frame Difference Method

A detection method and lane line technology, applied in the field of detection algorithms for vehicles driving in the front lane line, can solve problems such as slowness, poor recognition effect, easy missed detection or false detection, etc., to achieve obvious displacement, enhanced detection effect, and better results accurate effect

Active Publication Date: 2017-06-30
NANJING GENERAL ELECTRONICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The background frame difference method is often used to detect images captured by a fixed camera, because only when the shooting position is fixed can a uniform and unchanging background be obtained, and the disadvantage of the three-frame difference method is the speed of motion (including the relative speed relative to the camera) Slow target, poor recognition effect, easy to missed or false detection

Method used

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  • Detection Method of Vehicles Driving in Front Lane Based on Interval Frame Difference Method
  • Detection Method of Vehicles Driving in Front Lane Based on Interval Frame Difference Method
  • Detection Method of Vehicles Driving in Front Lane Based on Interval Frame Difference Method

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Embodiment

[0042] Refer to attached figure 1 , following the technical scheme of the present invention, the method of this embodiment is carried out according to the following steps:

[0043] Step 1, read real-time traffic images, and obtain four consecutive color images, such as figure 2 As shown, it is one of the frame images;

[0044] Step 2, converting the extracted four frames of color images into grayscale images respectively;

[0045] Step 3, using Hough transform to detect the lane line of the grayscale image, and then using the projection method to extract the area image in the front lane line in the grayscale image;

[0046] Step 4, smoothing the image of the area within the lane ahead using a Gaussian filter to eliminate part of the noise;

[0047] Step five, after the above four steps, a grayscale image with less noise is obtained, such as image 3 (a) ~ (d), and then use the improved frame difference method for processing. The specific method is as follows:

[0048] 1...

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Abstract

The invention discloses a detection method for vehicles traveling in a front lane based on a frame difference method, comprising the following steps: firstly, reading a real-time traffic image and taking out four consecutive color images, and then performing grayscale processing on the images; After that, the Hough transform and projection method are combined to extract a part of the area within the lane line in front of the vehicle in the image, and then the Gaussian filter is used for smoothing to remove part of the noise. After the previous processing, the frame difference method proposed by the present invention is used. From the first frame image read, subtract the third frame image from the first frame image to obtain the first frame difference image, and then subtract the fourth frame image from the second frame image to obtain the second frame image Inter-frame difference images, and then convert the two difference images into binary images according to the previously set threshold, and finally subtract the two binary images and take the absolute value to obtain the final detection result.

Description

Technical field: [0001] The invention relates to a detection method for a vehicle driving in front of an expressway, in particular to a detection algorithm for a vehicle driving in the front lane line based on the frame-by-frame difference method. Background technique: [0002] Since the reform and opening up, with the rapid development of my country's national economy and the improvement of people's living standards, the scale and number of motor vehicles in my country have increased significantly. According to statistics from the Ministry of Public Security, by the end of 2013, the number of motor vehicles in the country had exceeded 250 million, and the number of motor vehicle drivers was nearly 280 million. A total of 31 cities have more than 1 million cars. At the same time, the problem of urban traffic congestion is becoming more and more prominent, and vehicles that violate rules and regulations on the road are common, and the traffic safety problems caused by this a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/017G06K9/00
CPCG08G1/166G08G1/167G06V20/52
Inventor 陈杰
Owner NANJING GENERAL ELECTRONICS
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