Abstract
Video stabilization is an important video enhancement process which attempts to remove unwanted vibrations from the video frames. Software solutions to this problem consist of three main stages namely "motion estimation", "motion smoothing and correction" and "frames completion". In motion estimation, a global motion model is determined by extracting a set of feature points within frames and matching them in neighboring frames. We use the Scale Invariant feature and RANSAC robust estimator for acquiring the motion parameters. The effect of high frequency components which are related to the unwanted vibrations are then removed using a spatio-temporal Gaussian lowpass filter. A modified mosaicing algorithm is finally applied in order to complete the undefined regions resulted from motion correction. In our modified mosaicing algorithm, considering the original unstabilized neighboring frames and their associated motion models, the value of an undefined pixel is determined by minimizing the distance between its nearest defined pixels and the corresponding pixels in the neighboring frames.
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Rasti, M., Sadeghi, M.T. (2011). Video Stabilization and Completion Using the Scale-Invariant Features and RANSAC Robust Estimator. In: Pichappan, P., Ahmadi, H., Ariwa, E. (eds) Innovative Computing Technology. INCT 2011. Communications in Computer and Information Science, vol 241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27337-7_26
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DOI: https://doi.org/10.1007/978-3-642-27337-7_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27336-0
Online ISBN: 978-3-642-27337-7
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