A Vehicle Queuing Detection System at Urban Intersection Based on Sequence Images

Abstract

The invention discloses a vehicle queuing detection system at an urban intersection based on sequence images, which includes a camera, a communication unit, a camera calibration system, a vehicle behavior analysis system, and a statistical output module; the camera is connected to the vehicle behavior analysis system through the communication unit, and the vehicle behavior The analysis system combines the camera information in the camera calibration system to analyze the vehicle behavior of the sequence images obtained by the camera, judge the vehicle queuing situation in the video, and output the vehicle queuing information through the statistical output module; the beneficial effect of the present invention is that through the selective Background update foreground detection, classified vehicle detection, multiple traffic data calculations and adaptive tracking efficiency optimization methods can achieve accurate and fast vehicle queuing information collection and meet the needs of real-time collection of accurate traffic information.

Description

technical field [0001] The invention relates to the technical field of image processing systems, in particular to a vehicle queuing detection system at urban intersections based on sequence images. Background technique [0002] With the continuous increase of the number of domestic vehicles, traffic problems have gradually attracted widespread attention, and intelligent traffic scheduling has gradually entered people's field of vision. Manual traffic scheduling requires a lot of manpower and material resources, and it is difficult to detect congestion in time and find a better solution, while automated traffic scheduling can meet the above needs, and greatly reduce the required traffic while solving scheduling problems better. Labor costs. However, this method requires real-time intersection congestion data, so automatic vehicle congestion detection is required to provide basic data for it, and the urban intersection vehicle queuing detection system based on sequence images...

AI Technical Summary

Problems solved by technology

[0005] In summary, the current vehicle queuing detection scheme has the following deficiencies: 1) Although the non-tracking-based method can better meet the real-time requirements of the system, this method is susceptible to environmental interference and can only collect part of the traffic data; 2) ) The tracking-based method is slightly lacking in real-time performance, and when there are a large number of vehicles in the scene, the system will be overloaded, and the robustness is poor; 3) The above method does not have Considering the impact of vehicle height occlusion on the calculation accuracy of vehicle queuing, the data accuracy is not good

[0006] Vehicle queuing detection, as the basic data collection scheme of traffic dispatching, has high requirements in terms of real-time and accuracy, but most of the current methods cannot take into account the requirements of both aspects at the same time

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