Traffic signal light condition judgement method based on video frequency image processing

Abstract

The invention discloses a kind of judging method for state of traffic light based on video image processing, and it can gather video images by video equipment, the location of every lamp in traffic light assembly is set by hand on said video picture; gathers one frame of picture, extracts pixel value of every lamp in picture according to the set position information of every lamp; and then judges the state of every lamp; and judges the present state of traffic lamb is green, red, yellow or damaged according to the state of every lamp. The invention has strong anti-interference, avoid the mistaken shot, and it can reduce the cost, and easy to be maintained.

Description

technical field [0001] The invention relates to a method for judging the state of a traffic signal light based on video image processing, which is used for judging the current state of the signal light, and the state includes: red light prohibition, green light pass, yellow light excessive and fault occurred. Background technique [0002] In the automatic monitoring system for running a red light at an intersection, a key element is to judge whether the current signal light is a red light. The current method is to use a line to lead the signal light signal from the signal machine, pass through the corresponding I / O board, and then send it to the automatic red light monitoring system at the intersection. After detecting that the current signal is a red light, it is judged whether there is a vehicle or not. Run a red light. This approach has three disadvantages: first, the implementation of the project is cumbersome and the cost increases; second, this approach results in a s...

AI Technical Summary

Problems solved by technology

This approach has three disadvantages: first, the project implementation is troublesome and the cost is increased; second, this approach causes strong coupling between the signal machine system and the red light automatic monitoring system at the intersection, and it is inconvenient to maintain when a fault occurs

Third, when the signal machine breaks down, the signal sent by the signal machine to the red light automatic monitoring system may be inconsistent with the signal seen by the driver's naked eyes, resulting in wrong capture

[0004] Using the method of video image processing 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 light changes, wind and rain, day and night rotation, seasons change, and even A cloud drifts across the sky, occasionally a beam of strong light hits, etc., all of which will have a great impact on the video image

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