On the estimation of global motion using phase correlation for broadcast applications

• Published in: 7th International Conference on Image Processing and its Applications pp. 721 - 725
• Main Authors: Hill, L, Vlachos, T
• Format: Conference Proceeding
• Language: English
• Published: London IEE 1999
• Subjects: Applied sciences; Exact sciences and technology; Image processing; Information, signal and communications theory; Optical, image and video signal processing; Radio and television broadcasting; Signal processing; Telecommunications and information theory; Video signal processing; background mosaicing; block PCRS; scale; global motion estimation; motion compensation; multiresolution images; image sampling; PCRS; television broadcasting; motion estimation; camera pan; video signal processing; subsampled images; local estimates; rotation; video cameras; phase correlation; zoom; extended PCRS; broadcast applications; local motion estimation; object motions; video compression; camera vibration reduction; correlation methods; Experimental result; Fourier transformation; Motion estimation; Image processing; Phase correlation; Image sequence; Global motion; Video signal; Broadcasting; Multiresolution analysis; Implementation
• ISBN: 0852967179; 9780852967171
• ISSN: 0537-9989
• DOI: 10.1049/cp:19990418

Global motion estimation attempts to find and compensate for camera pan, zoom, rotation or other motions. The majority of motion existing in a video scene consists of local motion coupled with the camera motion; compensating for global motion improves the accuracy of local motion estimation allowing it to search for object motions only. Applications include video compression, background mosaicing and camera vibration reduction. The aim of this paper is to compare different ways of using the phase correlation approach for the estimation of global motion. To investigate this further, we have decided to experiment with three previously undocumented techniques and one that is a variant of the method described by Reddy and Chatterji (see IEEE Trans. on Image Processing, vol.5, no.8, p.1266-71, 1996): (1) phase correlation for rotation and scale (PCRS) on a global basis; (2) PCRS using subsampled images; (3) extended PCRS across multiresolution images; and (4) block PCRS from local estimates.