Traffic intersection signal light state identification method based on RGB color transformation

Abstract

The invention discloses a traffic intersection signal light state identification method based on video image processing. The method comprises the following steps of: acquiring a video image in real time via a video device, manually drawing the position of a signal light group on the video image, segmenting the region of the signal lights, and making the region into a mask; after acquiring each frame of image, smoothing the image in the mask region, removing noise influence, and analyzing the signal light image in the mask. A color transformation method is designed for graying color images, namely, three components in the color image are extracted, the min(r-g, r-b) operation is executed on a red or yellow signal light region, and for a green signal light region, the min(g-r, g-b) operation is used. The pixels of the traffic signal lights are separated from the image through a threshold method, the number of pixels separated from 25 frames of image in one second of three signal light regions is respectively accumulated, and the maximum one of the three accumulated values is taken as the basis for judging that the light is on.

Description

technical field [0001] The invention relates to the field of traffic, and in particular relates to a method for judging the status of traffic lights at intersections based on video image processing, which is used for judging the real-time status of lights at intersections. Background technique [0002] In order to effectively monitor whether the driver obeys the traffic rules, in the existing traffic monitoring system, such as the automatic monitoring system for running a red light, it is often necessary to use a red light signal. The current method is to lead out the red light signal of the corresponding light group from the signal machine, pass through the corresponding red light signal transponder, and then send it to the automatic red light monitoring system at the intersection. When the current signal is detected as a red light, the vehicle is judged Running a red light. This method has three disadvantages: first, the project implementation is troublesome, the co...

AI Technical Summary

Problems solved by technology

This method has three disadvantages: first, the project implementation is troublesome, the cost increases, and some signal machine red light signals are 220V voltage, which is unsafe; second, this structure relies on red light signal transponders, and multiple red light signals may Bringing faults, etc., resulting in the lack of key starting conditions for the red light system. Third, the failure of the signal machine may cause false shots and missed shots

This method is often easily affected by outdoor weather conditions. Various outdoor weather conditions lead to poor stability of the method based on color segmentation, and weather effects often lead to segmentation failures. At the same time, the movement and vibration of the vehicle will also make the image blurred.

[0004] Using video image processing method to judge the current state of the signal machine, the difficulty lies in: the video recording equipment works outdoors, and will encounter various situations, such as changes in light intensity, day and night rotation, rain, snow, etc. will have a greater impact on the video image

Images