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Limits of motion-background segmentation using fundamental matrix estimation

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Main Authors: Shafriza Nisha, Basah, Dr., Hoseinnezhad, Reza, Bab-Hadiashar, Alireza
Other Authors: shafriza@unimap.edu.my
Format: Article
Language:English
Published: IEEE Conference Publications 2014
Subjects:
Background segmentation
Controlled experiment
Fundamental matrix
Fundamental matrix estimation
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33894
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spelling my.unimap-338942014-04-22T07:02:27Z Limits of motion-background segmentation using fundamental matrix estimation Shafriza Nisha, Basah, Dr. Hoseinnezhad, Reza Bab-Hadiashar, Alireza shafriza@unimap.edu.my abab-hadiashar@swin.edu.au rhoseinnezhad@swin.edu.au Background segmentation Controlled experiment Fundamental matrix Fundamental matrix estimation Link to publisher's homepage at http://ieeexplore.ieee.org/ Images of a moving object acquired by a static camera typically contain two groups of image correspondences belonging to the object in motion and the static (or nearly static) background. For objects with relatively small motion, there is little distinction between the effect of motion and the background noise. As the type of motion is also not known in advance, the fundamental matrix motion model is usually applied in most vision algorithms. In this paper, we study the separability of a small motion from the static background via fundamental matrix estimation and introduce the necessary conditions for successful motion-background separation. We show that a pure translational motion in the above framework is inseparable from the static background regardless of its magnitude. An extensive set of controlled experiments have been conducted to validate the findings and to quantify the necessary condition (interms of the rotational angle) for successful separation of a general motion from a static background. 2014-04-22T07:02:27Z 2014-04-22T07:02:27Z 2008 Article IEEE Digital Image Computing: Techniques and Applications, 2008, pages 250-256 978-076953456-5 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33894 10.1109/DICTA.2008.23 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4700028&tag=1 en IEEE Conference Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Background segmentation
Controlled experiment
Fundamental matrix
Fundamental matrix estimation
spellingShingle Background segmentation
Controlled experiment
Fundamental matrix
Fundamental matrix estimation
Shafriza Nisha, Basah, Dr.
Hoseinnezhad, Reza
Bab-Hadiashar, Alireza
Limits of motion-background segmentation using fundamental matrix estimation
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 shafriza@unimap.edu.my
author_facet shafriza@unimap.edu.my
Shafriza Nisha, Basah, Dr.
Hoseinnezhad, Reza
Bab-Hadiashar, Alireza
format Article
author Shafriza Nisha, Basah, Dr.
Hoseinnezhad, Reza
Bab-Hadiashar, Alireza
author_sort Shafriza Nisha, Basah, Dr.
title Limits of motion-background segmentation using fundamental matrix estimation
title_short Limits of motion-background segmentation using fundamental matrix estimation
title_full Limits of motion-background segmentation using fundamental matrix estimation
title_fullStr Limits of motion-background segmentation using fundamental matrix estimation
title_full_unstemmed Limits of motion-background segmentation using fundamental matrix estimation
title_sort limits of motion-background segmentation using fundamental matrix estimation
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33894
_version_ 1643797328833806336
score 13.222552

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