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- W2890804768 abstract "Aerial video surveillance plays an important role in gathering the information for the public as well as military applications. Now-a-days cameras used for capturing video are of high quality, but because of the unintentional movement of cameras, the video gets unstabilized. The main aim of the video stabilization is to remove the unintentional motion and shakiness in the videos and preserve the desired motion. In this approach, speeded up robust features (SURF) and scale-invariant feature transform (SIFT) methods are used to detect and match the feature points of interest. The outliers and noise are removed using RANSAC, while affine transform is used to estimate the motion of the interest points. Finally, the video gets stabilized by compensating the global motion points obtained by the affine transform. These approaches for video stabilization show promising results in terms of Inter Transformation Fidelity (ITF) values for SURF and SIFT algorithms." @default.
- W2890804768 created "2018-09-27" @default.
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- W2890804768 date "2017-08-01" @default.
- W2890804768 modified "2023-09-26" @default.
- W2890804768 title "Implementation of Video Stabilization Algorithm for Surveillance System" @default.
- W2890804768 doi "https://doi.org/10.1109/iccubea.2017.8463700" @default.
- W2890804768 hasPublicationYear "2017" @default.
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