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A Robust Global Motion Estimation for Digital Video Stabilization
Behnam Babagholami-Mohamadabadi, Amin Jourabloo, and Mohammad T. Manzuri-Shalmani
Department of Computer Engineering, Sharif University of Technology, Tehran, Iranbabagholami@ce.sharif.edu
jourabloo@ce.sharif.edu
manzuri@sharif.edu
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.
Keywords: Global Motion Estimation, Radon Transform, Fourier Transform, Scale Transform, Similarity Motion Model
LNAI 7691, p. 132 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2012