An Integrated Dynamic Scene Algorithm for Segmentation and Motion Estimation

<p/> <p>Segmentation and motion estimation are two problems that require accurate estimation for many applications in computer vision and image analysis. This work presents a solution to these two problems simultaneously. Both the segmentation and motion fields are integrated and estimat...

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Main Authors: Abdel-Qader Ikhlas, Bujanovic Tomislav
Format: Article
Language:English
Published: SpringerOpen 2005-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/ASP.2005.1845
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author Abdel-Qader Ikhlas
Bujanovic Tomislav
author_facet Abdel-Qader Ikhlas
Bujanovic Tomislav
author_sort Abdel-Qader Ikhlas
collection DOAJ
description <p/> <p>Segmentation and motion estimation are two problems that require accurate estimation for many applications in computer vision and image analysis. This work presents a solution to these two problems simultaneously. Both the segmentation and motion fields are integrated and estimated in parallel to reduce computation time. The presented algorithm is based on producing motion estimates and restored pixel intensity values through an optimization process that uses deterministic mean-field annealing (MFA) framework. The MFA results at different temperature values are used to run a segmentation process using the concept of region-growing-based algorithm. The segmentation process starts at high temperatures and continues in parallel to the annealing process to refine the segmentation process at lower temperatures. The algorithm results are good and dependent on the annealing parameters. Several experimental results from synthetic and real-world sequences are presented.</p>
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spelling doaj.art-b0476449a8d74c0f9ff29265f5d5371f2022-12-21T19:41:09ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802005-01-01200512290134An Integrated Dynamic Scene Algorithm for Segmentation and Motion EstimationAbdel-Qader IkhlasBujanovic Tomislav<p/> <p>Segmentation and motion estimation are two problems that require accurate estimation for many applications in computer vision and image analysis. This work presents a solution to these two problems simultaneously. Both the segmentation and motion fields are integrated and estimated in parallel to reduce computation time. The presented algorithm is based on producing motion estimates and restored pixel intensity values through an optimization process that uses deterministic mean-field annealing (MFA) framework. The MFA results at different temperature values are used to run a segmentation process using the concept of region-growing-based algorithm. The segmentation process starts at high temperatures and continues in parallel to the annealing process to refine the segmentation process at lower temperatures. The algorithm results are good and dependent on the annealing parameters. Several experimental results from synthetic and real-world sequences are presented.</p>http://dx.doi.org/10.1155/ASP.2005.1845segmentationmotion estimationmean-field annealing
spellingShingle Abdel-Qader Ikhlas
Bujanovic Tomislav
An Integrated Dynamic Scene Algorithm for Segmentation and Motion Estimation
EURASIP Journal on Advances in Signal Processing
segmentation
motion estimation
mean-field annealing
title An Integrated Dynamic Scene Algorithm for Segmentation and Motion Estimation
title_full An Integrated Dynamic Scene Algorithm for Segmentation and Motion Estimation
title_fullStr An Integrated Dynamic Scene Algorithm for Segmentation and Motion Estimation
title_full_unstemmed An Integrated Dynamic Scene Algorithm for Segmentation and Motion Estimation
title_short An Integrated Dynamic Scene Algorithm for Segmentation and Motion Estimation
title_sort integrated dynamic scene algorithm for segmentation and motion estimation
topic segmentation
motion estimation
mean-field annealing
url http://dx.doi.org/10.1155/ASP.2005.1845
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