Traffic flow surveying and handling method based on unmanned aerial vehicle high-definition video

Abstract

The invention provides a traffic flow surveying and handling method based on an unmanned aerial vehicle high-definition video. The method comprises the steps of video capture, wherein an unmanned aerial vehicle is made to hover over a selected urban road intersection for high-definition video shooting; image stabilization and pre-processing, wherein the high-definition video is copied, stabilization and pre-processing are carried out on images, and then an image sequence is output; detection and tracking, wherein detection and tracking are carried out on moving objects with the image sequence treated with image stabilization as source data; analysis and statistics, wherein traffic flow analysis and statistics are carried out on a target ID which is tracked down and the current coordinates of motion; output, wherein traffic flow statistical data are transmitted to a client-side graphical interface for display, and then data and statements are generated. The traffic flow surveying and handling method based on the unmanned aerial vehicle high-definition video is capable of obtaining various high-accuracy traffic data, reducing the workload of field survey remarkably, preventing the traffic from being affected, obtaining statistic data of all traffic flows in twelve directions of the intersection, and providing data support for congestion control such as intersection signal timing optimization and traffic channeling improvement.

Description

technical field [0001] The invention relates to a traffic flow investigation and processing method, in particular to a traffic flow investigation and processing method based on the high-definition video of an unmanned aerial vehicle. Background technique [0002] Vehicle identification and tracking is an important content in intelligent transportation technology, and has broad application prospects in future traffic information collection and traffic control management; existing vehicle identification and tracking technology is mainly based on fixed camera video research, but fixed The camera is subject to shortcomings such as difficulty in movement and limited coverage, which greatly restricts its role in urban traffic monitoring. However, the existing traditional investigation of traffic flow characteristics mainly adopts the method of separately investigating traffic volume, vehicle speed, density, etc., which not only requires a lot of manpower and material resources in ...

AI Technical Summary

Problems solved by technology

[0002] Vehicle identification and tracking is an important content in intelligent transportation technology, and has broad application prospects in future traffic information collection and traffic control management; existing vehicle identification and tracking technology is mainly based on fixed camera video research, but fixed The camera is subject to shortcomings such as difficulty in movement and limited coverage, which greatly restricts its role in urban traffic monitoring.

However, the existing traditional investigation of traffic flow characteristics mainly adopts the method of separately investigating traffic volume, vehicle speed, density, etc., which not only requires a lot of manpower and material resources in the investigation process and data processing, but also interferes with the traffic to a certain extent. , The sample size of the survey is not large, and the survey process cannot be reproduced, etc.

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