Fog Recognition Method for Expressway Based on Video Stream Data

A technology of expressway and identification method, applied in image data processing, image analysis, image enhancement and other directions, can solve the problems of strong regionality and difficulty in forecasting and forecasting of mass fog, and achieve fast disappearance, rapid adaptation to weather changes, and maintenance costs. low effect

Active Publication Date: 2022-02-18
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

Method used

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  • Fog Recognition Method for Expressway 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] Such as 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 back...

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Abstract

The invention discloses a method for identifying cloudy fog on a highway based on video stream data, which comprises the following steps: 1. Acquisition of video stream data; 2. Extraction of background pictures for removing moving objects; 3. Judgment of weather detection results of background pictures; 4. Current The weather detection result of the moment background picture is compared with the weather detection result of the background picture of the previous moment, so that it is judged that there is a cloud of fog in the current occurrence area. The invention has low maintenance cost and the ability to quickly adapt to weather changes. The observation period is short, which is in line with the characteristics of quick appearance and quick disappearance of group fog. The present invention recognizes clusters of fog based on the visualized video image processing technology, and the visualized video image can be directly visualized for manual decision-making information, which has 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...

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Application Information

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Patent Type & AuthorityPatents(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