Image alignment method for video monitoring and unmanned aerial vehicle

Abstract

The invention discloses an image alignment method for video monitoring and an unmanned aerial vehicle. The method comprises the following steps: S1, aligning the image coordinates and latitude and longitude coordinates of a monitoring camera, and building a low-precision mapping relation between the image coordinates and latitude and longitude coordinates of the monitoring camera; s2, aligning the image coordinates and the latitude and longitude coordinates of the unmanned aerial vehicle camera, and establishing a low-precision mapping relation between the image coordinates and the latitude and longitude coordinates of the unmanned aerial vehicle camera; s3, screening target objects with corresponding positions in the monitoring camera picture and the unmanned aerial vehicle camera picture to obtain a longitude and latitude coordinate pair set K of the mutually corresponding target objects, and taking an average value of each pair of longitude and latitude coordinates as a standard longitude and latitude coordinate of the group, and S4, recalculating two transformation matrixes of the video monitoring and the unmanned aerial vehicle according to the standard latitude and longitude coordinate set in the step S3, and establishing an accurate mapping relationship between the video monitoring and the unmanned aerial vehicle through the transformation matrixes obtained through calculation.

Description

technical field [0001] The invention relates to the field of monitoring and detection, in particular to an image alignment method for video monitoring and unmanned aerial vehicles. Background technique [0002] Video surveillance and unmanned aerial vehicles are widely used in the ocean and land, and can conduct rapid daily monitoring of areas that are illegal or suspected of illegal use of the sea, illegal buildings and other characteristics, providing a basis for illegal use of sea investigations and emergencies. in accordance with. In order to quickly obtain the information of different angles of view of the target object, so as to play a better monitoring role, video surveillance and UAV image mapping are required. [0003] The existing technology generally adopts a method for image alignment to extract feature key points and feature descriptors of two images, and then use a matching algorithm to find feature points with a high matching degree for transformation to achi...

AI Technical Summary

Problems solved by technology

However, in this method, due to the fact that the manually calibrated coordinates contain errors in practical applications, the obtained image coordinates generally contain errors, which is time-consuming and labor-intensive.

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