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Fast global motion estimation using iterative least-square estimation technique

Sorwar, G.; Murshed, M. and Dooley, L. (2003). Fast global motion estimation using iterative least-square estimation technique. In: 4th International Conference on Information, Communications and Signal Processing and Pacific-Rim Conference on Multimedia (ICICS-PCM '03), 15-18 Dec 2003, Singapore.

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Global motion estimation is an important task in a variety of video processing applications, such as coding, segmentation, classification/indexing, and mosaicing. The main difficulty in global motion parameter estimation resides in the disturbances due to the independently moving objects. The iterative least-square estimation (ILSE) technique [G. B. Rath and A. Makur, 1999] is commonly used in estimating a four-parameter model of global motion. In this paper, a modified ILSE (MILSE) technique is developed, which is capable of estimating the parameters with any number of macroblocks without considering them in order of rows and columns. The performance of the MILSE algorithm is analyzed and quantitatively and qualitatively compared with the ILSE technique. Experimental results show that the proposed technique is not only computationally fast but also robust to the disturbance caused by independently moving objects.

Item Type: Conference or Workshop Item
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 13065
Depositing User: Laurence Dooley
Date Deposited: 12 Mar 2009 15:43
Last Modified: 10 Dec 2018 03:14
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