Mountain road curve vehicle crossing early warning method based on videos

A curve and video technology, applied in the field of video image technology and road traffic safety, can solve problems such as difficulty in giving early warning, achieve the effect of insensitivity to noise, meet real-time requirements, and have a wide range of applications

Inactive Publication Date: 2015-07-29
CHONGQING UNIV
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Problems solved by technology

[0004] At present, convex reflectors are installed on the curves of mountain roads, but such convex reflectors are difficult to play an early warning role at night, in heavy fog, rain and snow, and the driver can only

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  • Mountain road curve vehicle crossing early warning method based on videos

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[0017] Hereinafter, the preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0018] figure 1 It is a flowchart of the method of the present invention, and the method includes the following steps:

[0019] S1: Use an infrared camera for infrared photography to obtain video image signals. The installation of the cameras is based on the actual spatial layout and can be arranged on both sides of the road or above the road to achieve full coverage of the road curves in mountainous areas.

[0020] S2: Use an adaptive Gaussian mixture modeling method for foreground detection. The steps of the adaptive Gaussian mixture modeling method in step S2 are as follows:

[0021] S21: Establish a mixed Gaussian background model to represent the characteristics of each pixel in the image frame;

[0022] S22: adaptively update the background model and calculate the foreground mask;

[0023] S23: Perform morphological opening operation an...

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Abstract

The invention discloses a mountain road curve vehicle crossing early warning method based on videos, and belongs to the technical field of video images. The method includes the following steps of firstly, conducting infrared camera shooting through an infrared camera to obtain video image signals; secondly, conducting vehicle target detection through a self-adaptive Gaussian mixture modeling method to obtain vehicle characteristics; thirdly, calculating the average vehicle area of multiple frames, and judging the running directions of vehicles; fourthly, conducting vehicle tracking on vehicle targets entering the camera shooting range through the MeanShift algorithm; fifthly, measuring vehicle speeds through the angular point characteristic matching algorithm, comparing the vehicle speed with the maximum regulated vehicle speed at a curve, and conducting front road condition information display and real-time voice prompting or early warning on the two ends of the curve. By means of the infrared camera, the vehicle target detection can be completed under the conditions that the weather is bad and visibility is low, the curve vehicle crossing early warning is conducted through information display and real-time voice broadcasting, and the aim of comprehensive effective early warning in the running process is achieved.

Description

technical field [0001] The invention belongs to the technical fields of video image technology and road traffic safety, and relates to a video-based early warning method for crossing a car on a curve in a mountainous road. Background technique [0002] In recent years, with the rapid development of the automobile industry and the continuous improvement of road transportation infrastructure, the convenience of residents' travel has been greatly improved. While people are fully enjoying the convenience and comfort of modern transportation, they are also affected by various traffic problems. problems, especially the problem of traffic safety. Since 1978, the number of road traffic deaths in my country has been the highest in the world. In 2013 alone, there were 198,394 road traffic accidents in the country, resulting in 58,539 deaths, 213,724 injuries, and direct property losses of 1.04 billion yuan. Traffic accidents resulted in 31,085 deaths, of which 24.5% and 15.8% were cau...

Claims

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Application Information

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IPC IPC(8): G08G1/16
CPCG08G1/166G08G1/167
Inventor 尹宏鹏柴毅周佳怡
Owner CHONGQING UNIV
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