VIDEO STABILIZATION INFORMATIONAL TECHNOLOGY FOR UNMANNED AERIAL VEHICLE
Keywords:digital video, stabilization, unmanned aerial vehicle
AbstractWe developed an information technology for stabilization of video from the board of unmanned aerialvehicle that allows compensating influence of macromotions and micromotions of video camera, i.e. removing thefluctuations of separate video frames and increasing their sharpness. Above mentioned methods and means could beused in video processing in real time.
Adobe Premiere Pro CC (Online resource): http://www.adobe.com/products/premiere.html (in English).
Alpatov B.A., Babayan P.V., Koblov Ju.S., Muraviev V.S., Strotov V.V., Fel'dman A.B. Software package for the automation of scientific research in the field of advanced navigation systems drone surveillance data. Vestnik RGRTY. 2012. ISSN 1995-4565. № 2 (vol. 40). – P. 9-15 (in Russian).
Bradsky G., Kaehler A. Learning OpenCV. O’Reilly. 2008. ISBN 978-0-596-51613-0. – P. 580 (in English).
CUDA ZONE (Online resource): https://developer.nvidia.com /category/zone/cuda-zone (in English).
Deshaker video stabilizer for VirtualDub (Online
resource): http://www.guthspot.se/video/deshaker.htm (in
Hing, J.T., Sevcik, K.W., Oh P.Y. Improving Unmanned Aerial Vehicle Pilot Trainingand Operation for Flyingin Cluttered Environments. Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on 10-15 Oct. 2009. – P. 5641-5646 (in English).
ISO/IEC 9899:1999/Cor 3:2007 от 2007-11-15 (Online resource): http://www.iso.org/iso/home/store/ /catalogue_ics/ catalogue_detail_ics.htm?csnumber=50510 (in English).
Lucas B. D., Kanade T. An iterative image registration technique with an application to stereo vision. Proceedings of Imaging Understanding Workshop. 1981. – P. 121-130. (in English).
MercalliI EASY fixing shaky videos (Online resource): http://www.mercallieasy.com/ (in English).
Nichikov E.P. Ortorectification of photos from unmanned aircraft of small and medium-type, with binding to reference points. Problems of informatization and monitoring. 2012. № 4(40). – P. 67-70 (in Ukrainian).
NVIDIA (Online resource): http://nvidia.com/ (in
Owens J. D., Luebke D., Govindaraju N., Harris M., Krüger J., Lefohn A.E., Purcell T. A. Survey of General-Purpose Computation on Graphics Hardware. Computer Graphics Forum. 2007. vol. 26. number 1. – P. 80-113 (in English).
Prystavka P.O. Apply a filter based on polynomial splines in the processing of raster images. Visnyk NAU. 2008. № 4. – P. 104-107 (in Ukrainian).
Prystavka P.O., Cholyskina O.G. Research of combined filter for sharpening images. Actual problems automation and informational technologies : Collection of scientific works. 2009. vol. 13. – P. 39-53 (in Ukrainian).
Prystavka P.O. Polynomial splines in data processing. Publishing Dnipropetrovsk University Press. 2004. – P. 236 (in Ukrainian).
Shi J., Tomasi. C. Good Features to Track. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. June 1994. – P 593-600. (in English).
Temiz M. S., Külür S. Rectification of digital close range images: sensor models, geometric image transformations and resampling. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B5. Beijing 2008. – P. 89-94 (in English).
The open standard for parallel programming of heterogeneous systems (Online resource):
http://www.khronos.org/opencl/ (in English).