Method and system for estimating low-visibility scale of road video images
A video image, low-visibility technology, applied in the field of intelligent transportation, can solve problems such as road traffic safety and low-visibility detection, and achieve the effect of solving the pain points and difficult problems of early warning, simplifying the conversion relationship, and improving the level of large-scale application.
Active Publication Date: 2020-10-09
南京微达电子科技有限公司
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Therefore, focusing on solving the problem of video image recognition and the conversion of haze concentration and actual visibility when the road visibility is lower than 200 meters can solve the problem of low visibility detection and recognition that affects road traffic safety by using existing camera video data to calculate (estimate).
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[0038] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0039] figure 1 It is a schematic diagram of road video image coordinates and road image visibility scale markings, such as figure 1 Establish a two-dimensional Cartesian coordinate system (x, y) on the image plane. In the figure, 0 is the coordinate origin, x is the longitudinal coordinate of the road video image (imaging plane), and y is the horizontal coordinate of the road video image (imaging plane) (the road surface is represented by the image height. distance, called: image distance). Among them, the visibility scale mark can be delineated by the user in the video image or automatically obtained by the image processing algorithm as the clear or blurred boundary line of the image.
[0040] figure 2 is a schematic diagram of the three-dimensional spatial relationship of the actual road surface, such as figure 2 Establish a three-dime...
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The invention discloses a method and system for estimating the low-visibility scale of a road video image. The method uses the kinematics principle to observe the change law of the distance markers in the road in the video image as the distance of the road surface moves, based on the distance markers. According to the known information, the relationship model between the video image distance and the road surface distance is obtained, and the conversion model between the road visibility and the haze concentration data is further calculated, and the road visibility can be broadcast in real time through the video stream haze data. The invention solves the painful and difficult problems of highway fog monitoring and early warning, realizes real-time intelligent detection and early warning of low visibility on highways, has high accuracy and low false alarm rate, and can greatly improve the intelligent level of monitoring. The present invention can make full use of the resources of the existing monitoring system without setting up special sensing equipment, has strong expansibility, can continuously iteratively update through the accumulation of analysis data, and realizes intelligent detection of visibility and real-time early warning of various severe weather conditions.
Description
technical field [0001] The invention relates to a method and system for estimating the low-visibility scale of road video images, and belongs to the technical field of intelligent transportation. Background technique [0002] Low visibility on roads (especially expressways) has a huge impact on traffic safety. Over the years, there have been many researches and proposed methods on the visibility detection of fog (especially cloudy fog) using video image information, but their accuracy and reliability are poor, and they cannot be practically applied at all. Visibility is an indicator that reflects the transparency of the atmosphere. Although some studies have shown that the relative data of haze concentration can be measured and calculated through video stream data, the visibility varies depending on the location of the camera, preset parameters, operating environment, season, climate, and the actual picture of the camera. However, there are significant differences in the de...
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IPC IPC(8): G08G1/048G06K9/00
CPCG08G1/048G06V20/52
Inventor 黄一闻黄东陈一兵薛源
Owner 南京微达电子科技有限公司