An Improved Ultra-High Definition Panoramic Video Mosaic Method for Airport Scene

In the airport flight area video surveillance system, in order to solve the problems of low image resolution, mosaic fusion with ghosting and high processing time in multi-channel 4K High Definition (HD) video image stitching, an improved ultra-high definition panoramic video mosaic method for airport scene is proposed. Firstly, Improved Harris algorithm is used to extract the feature point of each image and the Euclidean distance is used to match feature vector. In addition, Gaussian feature of nonlinear weighted mask is calculated disposable and two-level of Gaussian pyramid is used for smoothing, besides, the original image and the smoothed image are directly used for the accumulation and difference. At the same time, because the overlapping part is divided into regions similar to Gaussian scale smoothing and Gaussian smoothing of mask, the transition effect is more natural and smooth during image mosaic and fusion. Finally, video image mosaic and fusion is realized and panoramic video image resolution can be up to 8K (ultra-high definition). The experiment at typical airport shows that the improved method meets the high-quality efficiency of visible video image stitching and fusion.