A 3-Step Algorithm Using Region-Based Active Contours for Video Objects Detection
We propose a 3-step algorithm for the automatic detection of moving objects in video sequences using region-based active contours. First, we introduce a very full general framework for region-based active contours with a new Eulerian method to compute the evolution equation of the active contour fro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2002-06-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1155/S1110865702203157 |
| _version_ | 1818558381122650112 |
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| author | Stéphanie Jehan-Besson Michel Barlaud Gilles Aubert |
| author_facet | Stéphanie Jehan-Besson Michel Barlaud Gilles Aubert |
| author_sort | Stéphanie Jehan-Besson |
| collection | DOAJ |
| description | We propose a 3-step algorithm for the automatic detection of moving objects in video sequences using region-based active contours. First, we introduce a very full general framework for region-based active contours with a new Eulerian method to compute the evolution equation of the active contour from a criterion including both region-based and boundary-based terms. This framework can be easily adapted to various applications, thanks to the introduction of functions named descriptors of the different regions. With this new Eulerian method based on shape optimization principles, we can easily take into account the case of descriptors depending upon features globally attached to the regions. Second, we propose a 3-step algorithm for detection of moving objects, with a static or a mobile camera, using region-based active contours. The basic idea is to hierarchically associate temporal and spatial information. The active contour evolves with successively three sets of descriptors: a temporal one, and then two spatial ones. The third spatial descriptor takes advantage of the segmentation of the image in intensity homogeneous regions. User interaction is reduced to the choice of a few parameters at the beginning of the process. Some experimental results are supplied. |
| first_indexed | 2024-12-14T00:11:42Z |
| format | Article |
| id | doaj.art-0f7450d9c3b34fac9b381d66929d8a90 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-14T00:11:42Z |
| publishDate | 2002-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-0f7450d9c3b34fac9b381d66929d8a902022-12-21T23:25:43ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802002-06-012002657258110.1155/S1687617202203157A 3-Step Algorithm Using Region-Based Active Contours for Video Objects DetectionStéphanie Jehan-BessonMichel BarlaudGilles AubertWe propose a 3-step algorithm for the automatic detection of moving objects in video sequences using region-based active contours. First, we introduce a very full general framework for region-based active contours with a new Eulerian method to compute the evolution equation of the active contour from a criterion including both region-based and boundary-based terms. This framework can be easily adapted to various applications, thanks to the introduction of functions named descriptors of the different regions. With this new Eulerian method based on shape optimization principles, we can easily take into account the case of descriptors depending upon features globally attached to the regions. Second, we propose a 3-step algorithm for detection of moving objects, with a static or a mobile camera, using region-based active contours. The basic idea is to hierarchically associate temporal and spatial information. The active contour evolves with successively three sets of descriptors: a temporal one, and then two spatial ones. The third spatial descriptor takes advantage of the segmentation of the image in intensity homogeneous regions. User interaction is reduced to the choice of a few parameters at the beginning of the process. Some experimental results are supplied.http://dx.doi.org/10.1155/S1110865702203157detection of moving objectsvideo sequences analysisregion-based active contourslevel-set method. |
| spellingShingle | Stéphanie Jehan-Besson Michel Barlaud Gilles Aubert A 3-Step Algorithm Using Region-Based Active Contours for Video Objects Detection EURASIP Journal on Advances in Signal Processing detection of moving objects video sequences analysis region-based active contours level-set method. |
| title | A 3-Step Algorithm Using Region-Based Active Contours for Video Objects Detection |
| title_full | A 3-Step Algorithm Using Region-Based Active Contours for Video Objects Detection |
| title_fullStr | A 3-Step Algorithm Using Region-Based Active Contours for Video Objects Detection |
| title_full_unstemmed | A 3-Step Algorithm Using Region-Based Active Contours for Video Objects Detection |
| title_short | A 3-Step Algorithm Using Region-Based Active Contours for Video Objects Detection |
| title_sort | 3 step algorithm using region based active contours for video objects detection |
| topic | detection of moving objects video sequences analysis region-based active contours level-set method. |
| url | http://dx.doi.org/10.1155/S1110865702203157 |
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