Expressway agglomerate fog identification method based on video stream data

A technology of expressways and identification methods, applied in image data processing, instruments, calculations, etc., can solve the problems of difficult fog forecasting and strong regional characteristics, and achieve the effects of rapid adaptation to weather changes, fast disappearance, and short observation period

Active Publication Date: 2018-11-06
武汉倍特威视系统有限公司
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AI Technical Summary

Problems solved by technology

Cloudy fog is difficult to predict and is highly regional, which is likely to cause major traffic accidents
There is currently no good way to detect blobs

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  • Expressway agglomerate fog identification method based on video stream data

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Embodiment Construction

[0017] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0018] like figure 1 As shown, the present invention provides a kind of highway group fog recognition method based on video stream data, comprising the following steps:

[0019] Step 1, collect the video stream data of the fog-prone road section of the expressway, and decode the video image in the video stream data frame by frame, convert it into a Lab space representation, and convert it into a corresponding color image;

[0020] Step 2. After the Kalman filter-based background estimation method obtains the estimated background of the video image, convert the video image into two types of pixel values, background and moving foreground, and use the background pixel value instead of the moving foreground pixel value to update the current background model , to get the background picture with the moving target removed; among them, when the backgro...

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Abstract

The invention discloses an expressway agglomerate fog identification method based on video stream data. The expressway agglomerate fog identification method based on video stream data includes the following steps: 1) obtaining video stream data; 2) extracting a background image in which motion targets are removed; 3) determining the weather detection result of the background image; and 4) comparing the weather detection result of the background image at the present moment with the weather detection result of the background image before the moment so as to determine that the current region hasagglomerate fog. The expressway agglomerate fog identification method based on video stream data has low usage and maintenance cost, the ability to quickly adapt to weather changes, and short observation period, thus according with the characteristic that the agglomerate fog appears fast and disappears quickly. The expressway agglomerate fog identification method based on video stream data performs agglomerate fog identification based on a visual video image processing technology, and the information provided by the visual video image for artificial decision making is perceptual and visual, thus having natural advantages compared with other sensor technologies.

Description

technical field [0001] The invention belongs to the technical field of fog detection and early warning, and in particular relates to a method for identifying fog clusters on expressways based on video stream data. Background technique [0002] Expressway is an industry related to the development of the lifeline of the national economy. With the rapid development of expressway in recent years, the number of traffic accidents has also shown geometric growth, which is a serious threat to economic development and residents' personal safety. According to statistics, heavy fog is the main cause of frequent vicious traffic accidents on expressways. [0003] At present, the methods of fog detection and early warning are mainly divided into two categories: traditional satellite remote sensing, atmospheric visibility detector and fog detection based on image processing. "Mist fog" is also fog in essence, which is affected by the microclimate environment in local areas. In the local r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/207G06T7/194G06T7/215G06T7/277
CPCG06T7/194G06T7/207G06T7/215G06T7/277G06T2207/10016
Inventor 杨贤文
Owner 武汉倍特威视系统有限公司
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