Adaptive Low Cost Algorithm for Video Stabilization

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Abstract

Video stabilization is a technique used to compensate user hand shaking. It avoids grabbing the unintentional motion in a video sequence, which causes unpleasant effects for the final user. In this paper we present a very simple but effective low power consumption solution, suitable for cheap and small video cameras, which is robust to common difficult conditions, like noise perturbations, illumination changes, motion blurring and rolling shutter distortions.

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Spampinato, G., Bruna, A., Naccari, F., & Tomaselli, V. (2017). Adaptive Low Cost Algorithm for Video Stabilization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10485 LNCS, pp. 363–372). Springer Verlag. https://doi.org/10.1007/978-3-319-68548-9_34

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