Abstract | ||
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Video sequence stabilization permits an accurate analysis of the video originate from sources as video cameras or IR sensors. In fact, a system of video stabilization allows the availability of aligned image sequences and, consequently, to improve the operator analysis of the scenario. In this paper different image processing methods are analyzed to remove the camera unwanted motions and reconstruct a stabilized sequence for real time applications. In particular three methodologies are compared in term of computational load and of the expected scenarios to determine the best strategies to be applied in a real time system. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1109/IGARSS.2006.254 | Denver, CO |
Keywords | Field | DocType |
geophysical signal processing,image reconstruction,image segmentation,image sequences,remote sensing,video cameras,IR sensors,aligned image sequence,camera motion,image processing,image reconstruction,operator analysis,real-time remote sensing application,video cameras,video sequence stabilization | Computer vision,Video post-processing,Feature detection (computer vision),Computer science,Remote sensing,Image stabilization,Image-based lighting,Image processing,Remote sensing application,Artificial intelligence,Microscope image processing,Digital image processing | Conference |
ISSN | ISBN | Citations |
2153-6996 | 0-7803-9510-7 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Giovanni Corsini | 1 | 299 | 40.26 |
Marco Diani | 2 | 261 | 30.99 |
Andrea Masini | 3 | 0 | 0.34 |