Abstract
This paper proposes a global motion estimation method to remove unintentional camera motions which degrade the visual quality of image sequences. The proposed approach is based on combination of 2D Radon transform, 1D Fourier transform and 1D Scale transform which can accurately estimate scale, rotational and translational distortions of camera motion and is robust to internal moving objects. Our experimental results with real and synthesized videos indicate the effectiveness of our proposed method.
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Babagholami-Mohamadabadi, B., Jourabloo, A., Manzuri-Shalmani, M.T. (2012). A Robust Global Motion Estimation for Digital Video Stabilization. In: Thielscher, M., Zhang, D. (eds) AI 2012: Advances in Artificial Intelligence. AI 2012. Lecture Notes in Computer Science(), vol 7691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35101-3_12
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DOI: https://doi.org/10.1007/978-3-642-35101-3_12
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