Global Motion Estimation Based on Fourier Mellin and Phase Correlation

Abstract

Global motion estimation aims at estimating the whole image changes causing by camera moving. This paper presents a global motion estimation method based on Fourier-Mellin and Phase-Correlation. Rotational angle and scaling factor are acquired by Phase-Correlation between Fourier-Mellin transform images of the reference and current image. Log-Polar coordinates are used to the Flourier amplitude spectrum. Translational parameter is obtained using sub-block based on Phase- Correlation. The proposed algorithm is robust to camera vibration or unwanted movement regardless of foreground object’s movement. Experimental results show that the proposed algorithm can efficiently and accurately estimate the parameter between two consecutive frames.