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Agglomerate fog detection method based on video analysis

A detection method and video analysis technology, which is applied in the field of cloud detection based on video analysis, can solve the problems of strong regionality and difficulty in cloud forecasting, and reduce traffic accidents, casualties and property losses with high accuracy Effect

Active Publication Date: 2017-04-26
清华大学苏州汽车研究院(吴江)
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  • Abstract
  • Description
  • Claims
  • Application Information

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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  • Agglomerate fog detection method based on video analysis
  • Agglomerate fog detection method based on video analysis
  • Agglomerate fog detection method based on video analysis

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Embodiment

[0028] The preferred embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0029] Such as figure 1 As shown, the present invention analyzes and processes the monitoring video by deploying a group fog detector on the side of the expressway or the expressway, and performs the following five-level detection on the group fog:

[0030] level describe 1 No fog, good view 2 light fog, good visibility 3 Moderate fog, partially limited vision 4 Heavier fog, higher restricted field of view 5 Dense fog, severely restricted vision

[0031] The present invention sends the fog level detected by the monitoring video to the back-end platform, and gives an alarm.

[0032] The present invention comprises the following steps:

[0033] Step 1: Connect the surveillance camera to obtain the video stream;

[0034] Step 2: If figure 2 As shown, for video images such as image 3 Perform ...

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Abstract

The invention discloses an agglomerate fog detection method based on video analysis. The method comprises the following steps of acquiring a video stream and carrying out dark channel prior convolution processing on a video image; acquiring a farthest view point assigned by a user, forming a perspective scope, and according to the point, dividing the perspective scope into different perspective areas in an equal proportion mode; carrying out pixel value statistics on each perspective area; and determining each perspective area successively from small to large, if a statistics result of one perspective area exceeds a setting threshold, determining that the area is covered by agglomerate fog, otherwise, determining that the area is not covered by the agglomerate fog. In the invention, based on prior knowledge of a dark channel, the image is preprocessed; based on perspective scope estimation of the farthest point, the agglomerate fog can be effectively detected; and accuracy is high.

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 detecting cluster fog based on video analysis. 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 range of tens of meter...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G01N21/59
CPCG01N21/59G01N2021/1765G06V20/40
Inventor 潘舟金王宝宗路萍顾会建黄晟成波
Owner 清华大学苏州汽车研究院(吴江)
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