Real-time video splicing method based on multiple unmanned aerial vehicles

Abstract

The invention discloses a real-time video splicing method based on multiple unmanned aerial vehicles. The method comprises the following steps: step 1, correcting postures of the unmanned aerial vehicles; performing adjusting in the global coordinate system by using the mutual mapping relation of the image pixel coordinate system and the global coordinate system; step 2, carrying out image shooting; step 3, carrying ot image processing and feature extraction; carrying out image processing and feature extraction by utilizing an unmanned aerial vehicle airborne CPU; 4, enabling the ground station to receive the processed image information; 5, searching a feature matching area; step 6, deleting abnormal values; deleting the abnormal value by adopting an improved random sampling consistency algorithm; step 7, optimizing video splicing quality; and step 8, splicing video output. According to the invention, the workload of a ground station is reduced by adopting a distributed feature extraction technology, the splicing efficiency is improved by utilizing the prompt of a flight controller, the splicing speed of images shot by a plurality of unmanned aerial vehicles is improved, the splicing quality is improved, and the real-time splicing output of the images shot by the plurality of unmanned aerial vehicles is realized.

Description

technical field [0001] The invention belongs to video splicing technology, in particular to a real-time video splicing method based on multiple drones. Background technique [0002] The proliferation of commercial drone technology has enabled the deployment of aerial video surveillance systems to achieve unprecedented perspectives when monitoring target areas from the air; drone-based surveillance systems have a wide range of applications, including firefighting, search and rescue, and border surveillance. [0003] For example, a drone could be deployed to hover over a bushfire, streaming live video via a wireless connection to firefighters, allowing them to assess the situation from an aerial perspective. However, due to the limited field of view of the airborne camera, multiple UAVs are required to simultaneously cover a large target area for shooting; however, the video information captured by multiple UAVs is separated, and the ground receiving station receives the relev...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a real-time video splicing method based on multi-UAVs to solve the problem of ground station staff working in the prior art due to the use of split-screen observation for the video information returned by multi-UAVs. The amount is large, and it is easy to miss information when using multi-screen observation, resulting in technical problems such as a large error rate

Images