6 December 2004 Moving target detection, stabilization, enhancement, and compression of airborne video
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Abstract
A number of algorithms including moving target detection, video stabilisation and image enhancement have been described in the literature as useful in aerial reconnaissance scenarios. These algorithms are often described in isolation and require a base station for off-line processing. We consider the problem of designing a single image processing architecture capable of supporting these and other useful tasks in an embedded real-time system such as a semi-autonomous UAV. This paper describes our current algorithm suite and a versatile new architecture in development based on the formation of mosaic images. We show how these mosaics can be generated in real-time through fast image registration techniques and then exploited to accomplish typical aerial reconnaissance tasks. We also illustrate how they can be used to compress the video sequence. We show results from synthetic and real video using both software and hardware implementations. Our embedded hardware solution, its current algorithm suite and future developments are discussed.
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Jason L. Dale, David J. Dwyer, John Thornton, "Moving target detection, stabilization, enhancement, and compression of airborne video", Proc. SPIE 5612, Electro-Optical and Infrared Systems: Technology and Applications, (6 December 2004); doi: 10.1117/12.578795; https://doi.org/10.1117/12.578795
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