Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/2242
Título: Region and graph-based motion segmentation
Autor: Monteiro, Fernando C.
Campilho, Aurélio
Palavras-chave: Motion segmentation
Motion estimation
Clustering
Data: 2008
Editora: Springer
Citação: Monteiro, Fernando C.; Campilho, Aurélio (2008) - Region and graph-based motion segmentation. IN Image Analysis and Recognition. Berlin: Springer. p. 609-618, Vol. 5112. ISBN 978-3-540-69811-1
Relatório da Série N.º: Lecture Notes in Computer Science, Vol. 5112
Resumo: This 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.
Descrição: Indexado ISI
URI: http://hdl.handle.net/10198/2242
ISBN: 978-3-540-69811-1
ISSN: 0302-9743
Versão do Editor: http://www.springerlink.com/content/g23401154wv14608/
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