Real-Time UAV Ortho Video Generation

In recent years, many civil users have been interested in unmanned aerial vehicle (UAV) for a verity of different applications, such as quick response to time-critical event, traffic monitoring and traffic data collection because they have the ability to cover a large area, focus resources on the current problems, travel at higher speeds than ground vehicles, and are not restricted to traveling on the road network. All of these applications require a real-time orthorectification of the image flow acquired by UAV. This paper presents a method for real-time UAV orthovideo generation. The major contributions in this paper contain, video image matching to find tie points for merging dynamic, narrow field-of-view aerial video into a mosaic orthoimage, and a simple and fast algorithm for orthoimage. Finally, a real-time mosaic algorithm was developed.