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Lane detecting and partitioning method based on traffic intersection videos

A technology for traffic intersection and lane detection, applied in image analysis, image data processing, instruments, etc., can solve the problem of lack of video lane detection and segmentation methods, and achieve the effect of saving computing resources, improving processing speed, and saving operation links.

Active Publication Date: 2014-01-01
ZHEJIANG GONGSHANG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention aims at the shortcomings of the lack of stable video lane detection and segmentation methods in the prior art, and provides a novel lane detection and segmentation method based on traffic intersection video

Method used

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Embodiment 1

[0021] When implementing lane detection and segmentation technology based on video images of traffic intersections, video images are used as the entry point for processing, and mature image processing technologies such as Gaussian mixture models can be used to process video images of traffic intersections.

[0022] The lane detection and segmentation method based on traffic intersection video, the specific process is as follows:

[0023] In the first step, the video image is preprocessed by using the improved fast median filter. Among them, since the grayscale of the image data of the lane line does not change much in the video image, it can be considered that the area where the lane line is located has the same grayscale value. Therefore, it is not necessary to calculate every time when the neighborhood window moves on the entire image The median value, only when the gray value of the pixel newly entering the neighborhood window is not equal to the gray value of the pixel mov...

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Abstract

The invention relates to the field of computer image processing, and discloses a lane detecting and partitioning method based on traffic intersection videos. The method includes the steps that Hough conversion is used for detecting video images of a traffic intersection; multi-dimensional feature vectors are extracted; a K-means algorithm is used for achieving clustering. The lane detecting and partitioning method has the advantages that good adaptability, practicability and stability are achieved, the anti-interference capacity is good, operation steps and computation steps are simplified, consumption of computing resources is reduced, besides, a stable detection result can be further obtained, and the lane detecting and partitioning method is adaptive to lane analytical application of various intelligent transportation systems and has high application value.

Description

technical field [0001] The invention relates to the field of computer image processing, in particular to a traffic intersection video-based lane detection and segmentation method. Background technique [0002] With the continuous development of computer technology and transportation, intelligent transportation system based on video technology has become an important research field of computer vision technology application. Intelligent transportation system integrates various advanced information processing technology, global positioning navigation, data communication, sensor technology, automatic control principle, digital image processing, computer network technology, artificial intelligence, logistics management and other discipline knowledge into the current traffic planning , transportation, and management systems, making the traffic system an efficient operation as a whole. The intelligent transportation system has created a multi-management level, all-round, network c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 刘东升许翀寰
Owner ZHEJIANG GONGSHANG UNIVERSITY
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