Repository logo
 
Publication

Region and graph-based motion segmentation

dc.contributor.authorMonteiro, Fernando C.
dc.contributor.authorCampilho, Aurélio
dc.date.accessioned2010-03-15T11:47:53Z
dc.date.available2010-03-15T11:47:53Z
dc.date.issued2008
dc.descriptionIndexado ISIpt
dc.description.abstractThis paper describes an approach for integrating motion estimation and region clustering techniques with the purpose of obtaining precise multiple motion segmentation. Motivated by the good results obtained in static segmentation we propose a hybrid approach where motion segmentation is achieved within a region-based clustering approach taken the initial result of a spatial pre-segmentation and extended to include motion information. Motion vectors are first estimated with a multiscale variational method applied directly over the input images and then refined by incorporating segmentation results into a region-based warping scheme. The complete algorithm facilitates obtaining spatially continuous segmentation maps which are closely related to actual object boundaries. A comparative study is made with some of the best known motion segmentation algorithms.pt
dc.identifier.citationMonteiro, Fernando C.; Campilho, Aurélio (2008). Region and graph-based motion segmentation. IN Image Analysis and Recognition. Berlin: Springer. p. 609-618, Vol. 5112. ISBN 978-3-540-69811-1pt
dc.identifier.isbn978-3-540-69811-1
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10198/2242
dc.language.isoengpt
dc.publisherSpringerpt
dc.relation.ispartofseriesLecture Notes in Computer Science, Vol. 5112
dc.subjectMotion segmentationpt
dc.subjectMotion estimationpt
dc.subjectClusteringpt
dc.titleRegion and graph-based motion segmentationpt
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage618pt
oaire.citation.startPage609pt
oaire.citation.titleImage Analysis and Recognitionpt
person.familyNameMonteiro
person.givenNameFernando C.
person.identifier.ciencia-id2019-BDBF-10E2
person.identifier.orcid0000-0002-1421-8006
person.identifier.ridH-9213-2016
person.identifier.scopus-author-id8986162600
rcaap.rightsopenAccesspt
rcaap.typebookPartpt
relation.isAuthorOfPublication363b6c37-282c-4cd6-bb54-3c97cc700d78
relation.isAuthorOfPublication.latestForDiscovery363b6c37-282c-4cd6-bb54-3c97cc700d78

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
2008_ICIAR.pdf
Size:
1.31 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.74 KB
Format:
Item-specific license agreed upon to submission
Description: