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.