Video Segmentation Using Fast Marching and Region Growing Algorithms

The algorithm presented in this paper is comprised of three main stages: (1) classification of the image sequence and, in the case of a moving camera, parametric motion estimation, (2) change detection having as reference a fixed frame, an appropriately selected frame or a displaced frame, and (3) o...

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Main Authors: Eftychis Sifakis, Ilias Grinias, Georgios Tziritas
Format: Article
Language:English
Published: SpringerOpen 2002-04-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/S1110865702000744
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spelling doaj-0b7297dda6cd4411bc9a53f0785022cf2020-11-25T02:30:07ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802002-04-012002437938810.1155/S1687617202000744Video Segmentation Using Fast Marching and Region Growing AlgorithmsEftychis SifakisIlias GriniasGeorgios TziritasThe algorithm presented in this paper is comprised of three main stages: (1) classification of the image sequence and, in the case of a moving camera, parametric motion estimation, (2) change detection having as reference a fixed frame, an appropriately selected frame or a displaced frame, and (3) object localization using local colour features. The image sequence classification is based on statistical tests on the frame difference. The change detection module uses a two-label fast marching algorithm. Finally, the object localization uses a region growing algorithm based on the colour similarity. Video object segmentation results are shown using the COST 211 data set.http://dx.doi.org/10.1155/S1110865702000744video object segmentationchange detectioncolour-based region growing.
collection DOAJ
language English
format Article
sources DOAJ
author Eftychis Sifakis
Ilias Grinias
Georgios Tziritas
spellingShingle Eftychis Sifakis
Ilias Grinias
Georgios Tziritas
Video Segmentation Using Fast Marching and Region Growing Algorithms
EURASIP Journal on Advances in Signal Processing
video object segmentation
change detection
colour-based region growing.
author_facet Eftychis Sifakis
Ilias Grinias
Georgios Tziritas
author_sort Eftychis Sifakis
title Video Segmentation Using Fast Marching and Region Growing Algorithms
title_short Video Segmentation Using Fast Marching and Region Growing Algorithms
title_full Video Segmentation Using Fast Marching and Region Growing Algorithms
title_fullStr Video Segmentation Using Fast Marching and Region Growing Algorithms
title_full_unstemmed Video Segmentation Using Fast Marching and Region Growing Algorithms
title_sort video segmentation using fast marching and region growing algorithms
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2002-04-01
description The algorithm presented in this paper is comprised of three main stages: (1) classification of the image sequence and, in the case of a moving camera, parametric motion estimation, (2) change detection having as reference a fixed frame, an appropriately selected frame or a displaced frame, and (3) object localization using local colour features. The image sequence classification is based on statistical tests on the frame difference. The change detection module uses a two-label fast marching algorithm. Finally, the object localization uses a region growing algorithm based on the colour similarity. Video object segmentation results are shown using the COST 211 data set.
topic video object segmentation
change detection
colour-based region growing.
url http://dx.doi.org/10.1155/S1110865702000744
work_keys_str_mv AT eftychissifakis videosegmentationusingfastmarchingandregiongrowingalgorithms
AT iliasgrinias videosegmentationusingfastmarchingandregiongrowingalgorithms
AT georgiostziritas videosegmentationusingfastmarchingandregiongrowingalgorithms
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