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A novel filter for block-based motion estimation

Sorwar, Golam; Murshed, M. and Dooley, Laurence S. (2002). A novel filter for block-based motion estimation. In: 6th Digital Image Computing Technologies and Applications Conference (DICTA '02), 21-22 Jan 2002, Melbourne, Australia.

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Noises, in the form of false motion vectors, cannot be avoided while capturing block motion vectors using block based motion estimation techniques. Similar noises are further introduced when the technique of global motion compensation is applied to obtain 'true' object motion from video sequences, where both the camera and object motions are present. We observe that the performance of the mean and the median filters in removing false motion vectors, for estimating 'true' object motion, is not satisfactory, especially when the size of the object is significantly smaller than the scene. In this paper we introduce a novel filter, named as the Mean-Accumulated-Thresholded (MAT) filter, in order to capture 'true' object motion vectors from video sequences with or without the camera motion (zoom and/or pan). Experimental results on representative standard video sequences are included to establish the superiority of our filter compared with the traditional median and mean filters.

Item Type: Conference or Workshop Item
Copyright Holders: 2002 The Authors
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: 20460
Depositing User: Laurence Dooley
Date Deposited: 19 Mar 2010 10:13
Last Modified: 07 Dec 2018 14:32
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