Vehicle queuing length detection method and system based on video

Abstract

The invention provides a vehicle queuing length detection method and system based on a video in the intelligent transportation system. The method and system can provide a certain digital basis to relieve and solve traffic jams. The method relates to a system initialization unit used for extracting information and establishing initialization parameters, an environment classification unit used for environment classification and switching and guaranteeing the accuracy of the system in different weathers and environments, a vehicle feature extracting unit for extracting prominent vehicle features in the current environment, and a vehicle queuing detection unit for finding out the tail of a queue and calculating the queuing length. According to the method and system, a camera model is established by means of standard pavement markers without the assistance of a calibration board, and the parameters of the model can be adjusted in real time to reduce the errors caused by tiny offset of a camera; the tail of the queue is looked for by controlling the movement of an interested area, the vacant phenomenon during vehicle queuing can be dealt with, real-time requirements of video monitoring are met, the detection efficiency and accuracy of the systemare improved, the application range is wide, and stability and reliability are high.

Description

technical field [0001] The invention relates to the field of intelligent transportation, especially in systems such as road traffic control and highway toll collection, a system for controlling the area of ​​interest to move to the end of the vehicle queue by detecting the characteristics and status of vehicles in the area of ​​interest. Background technique [0002] With the rapid development of the transportation industry, traffic congestion has become more and more serious. Especially the phenomenon of congestion in front of highway toll booths and city traffic lights is very prominent. Traffic congestion makes the incidence of traffic accidents higher, which brings great inconvenience to people's travel. Therefore, the research on a video-based vehicle queuing length detection method and system is imminent. It can obtain the queuing length of vehicles in real time, and timely feed back to the intelligent traffic control center to control traffic flow and improve the lev...

AI Technical Summary

Problems solved by technology

[0005] In the actual vehicle queuing video analysis, in the vehicle queuing length detection technology based on video image analysis, as the vehicle queuing length detection method based on point feature (corner point) and line feature (edge) analysis proposed in the above-mentioned journal, due to the video camera Due to the problem of the shooting angle, the mutual occlusion phenomenon between vehicles will cause the disappearance of point features and the instability of line features when vehicles are congested, so that the calculation of subsequent vehicle queuing length cannot be accurately performed, and ultimately the detection of vehicle queuing length cannot be achieved. Purpose

Just as the above-mentioned patent CN101751558A proposes to detect the vehicle queuing length by moving the manually calibrated sliding window, the manual calibration sliding window described in this method has certain limitations for the detection of the vehicle queuing length, and has a certain impact on the accuracy of the detection results. On the one hand, this technical solution is only aimed at vehicle queuing detection in the daytime environment, and cannot adapt to changes in the environment, and the singleness of vehicle feature selection will ultimately make it difficult to guarantee the accuracy of vehicle queuing length detection

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