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A method and device for intelligent identification and early warning of cluster fog

A technology of intelligent recognition and feature recognition, applied in character and pattern recognition, instruments, closed-circuit television systems, etc., to achieve the effect of high accuracy and high detection effectiveness

Active Publication Date: 2020-01-10
ANHUI TI SAFT INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, in the field of automatic monitoring and early warning of traffic road environment, there is no identification and early warning device for group fog. Therefore, it is necessary to develop an effective identification and early warning device for group fog to avoid traffic accidents caused by group fog.

Method used

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  • A method and device for intelligent identification and early warning of cluster fog
  • A method and device for intelligent identification and early warning of cluster fog
  • A method and device for intelligent identification and early warning of cluster fog

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Embodiment 1

[0051] This embodiment provides a method for intelligent identification and early warning of group fog, such as figure 1shown, including the following steps:

[0052] Step S1: collecting video images of the video surveillance area, and extracting moving objects in the video images;

[0053] In the case of a static background, if the external lighting conditions remain unchanged, the complete background in the video image remains unchanged without considering the noise; when the target movement is visible, the grayscale between the target and the background must be There is a large difference, so the moving target in the video image can be extracted by the background difference method, which specifically includes the following steps:

[0054] Step S101: Assuming that the complete background image of the current video image sequence is B(x, y), the complete background is estimated from frame k to frame k+n, namely:

[0055] B(x,y)=O b [f k (x,y),f k+1 (x,y)... f k+n (x,y)]...

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Abstract

The invention discloses a method and device for intelligent identification and early warning of group fog. The steps of the method include: first extracting a moving target in a video image, then identifying the characteristics of the moving target to determine whether it is a group fog, and finally releasing the group fog Early warning information: the device includes a main control module, a heavy fog intelligent detection module, a group fog intelligent identification and analysis module and an early warning signal release module connected to it. Compared with the prior art, the present invention adopts a highly integrated integrated design, combines optical detection and video detection, solves the problem of single fog detection technology, and has the advantages of high detection effectiveness and high precision.

Description

technical field [0001] The invention belongs to the technical field of fog recognition and early warning methods for road traffic vehicles, and in particular relates to a fog intelligent recognition and early warning method and a device thereof. Background technique [0002] Cluster fog, which is called radiation fog in meteorology, is the fog formed by directly cooling the air layer close to the road surface due to the radiation cooling of the ground at night. The conditions for the formation of fog clusters have three major elements: clear night, breeze and sufficient water vapor. The cloud fog is different from the foggy weather we usually see. It is blocky and has a relatively small control range. It is like a large pile of cotton wool falling on the ground. Fog also has the characteristics of small range, long accumulation time, easy drift, and strong suddenness. [0003] In recent years, with the rapid growth of the number of motor vehicles in my country, heavy traff...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/18G06K9/00G08G1/09
CPCH04N7/18G08G1/09G06V40/13G06V20/00G06V20/42
Inventor 刘皖榕
Owner ANHUI TI SAFT INFORMATION TECH
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