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Conditions for motion-background segmentation using fundamental matrix

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Main Authors: Shafriza Nisha, Basah, Dr., Bab-Hadiashar, Alireza, Hoseinnezhad, Reza
Other Authors: rezah@unimelb.edu.au
Format: Article
Language:English
Published: The Institution of Engineering and Technology 2014
Subjects:
Background segmentation
Fundamental matrix
Motion segmentation
Camera parameter
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33953
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spelling my.unimap-339532014-04-23T06:25:25Z Conditions for motion-background segmentation using fundamental matrix Shafriza Nisha, Basah, Dr. Bab-Hadiashar, Alireza Hoseinnezhad, Reza rezah@unimelb.edu.au abab-hadiashar@swin.edu.au rezah@unimelb.edu.au Background segmentation Fundamental matrix Motion segmentation Camera parameter Link to publisher's homepage at http://ieeexplore.ieee.org/ In common motion segmentation and estimation applications, where the exact nature of objects’ motions and the camera parameters are not known a priori, the most general motion model (the fundamental matrix) is applied. Although the estimation of a fundamental matrix and its use for motion segmentation are well understood, the conditions governing the feasibility of segmentation for different types of motions are yet to be discovered. In this work, the authors study the feasibility of separating motions of a 3D object from its static background using the fundamental matrix. The authors theoretically prove that a pure translational motion cannot be separated from its static background and the success of motion background segmentation depends on the rotational part of the motion. An extensive set of controlled experiments using both synthetic and real images was conducted to validate the theoretical results. In addition, the authors quantified the conditions for successful motion-background segmentation in terms of the minimum required rotation angle. These results are useful for practitioners designing motion segmentation or estimation solutions for computer vision problems. 2014-04-23T06:25:25Z 2014-04-23T06:25:25Z 2009 Article IET Computer Vision, vol. 3(4), 2009, pages 189–200 17519632 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33953 10.1049/iet-cvi.2009.0030 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5353112 en The Institution of Engineering and Technology
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
Fundamental matrix
Motion segmentation
Camera parameter
spellingShingle Background segmentation
Fundamental matrix
Motion segmentation
Camera parameter
Shafriza Nisha, Basah, Dr.
Bab-Hadiashar, Alireza
Hoseinnezhad, Reza
Conditions for motion-background segmentation using fundamental matrix
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 rezah@unimelb.edu.au
author_facet rezah@unimelb.edu.au
Shafriza Nisha, Basah, Dr.
Bab-Hadiashar, Alireza
Hoseinnezhad, Reza
format Article
author Shafriza Nisha, Basah, Dr.
Bab-Hadiashar, Alireza
Hoseinnezhad, Reza
author_sort Shafriza Nisha, Basah, Dr.
title Conditions for motion-background segmentation using fundamental matrix
title_short Conditions for motion-background segmentation using fundamental matrix
title_full Conditions for motion-background segmentation using fundamental matrix
title_fullStr Conditions for motion-background segmentation using fundamental matrix
title_full_unstemmed Conditions for motion-background segmentation using fundamental matrix
title_sort conditions for motion-background segmentation using fundamental matrix
publisher The Institution of Engineering and Technology
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33953
_version_ 1643797357557448704
score 13.222552

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