Computer analysis of objects’ movement in image sequences: methods and applications

Detalhes bibliográficos
Autor(a) principal: Tavares, João Manuel R.S.
Data de Publicação: 2009
Outros Autores: Carvalho, Fernando, Oliveira, Francisco, Reis, Ilda, Vasconcelos, Maria João M., Gonçalves, Patrícia C.T., Pinho, Raquel, Ma, Zhen
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/4427
Resumo: Computer analysis of objects’ movement in image sequences is a very complex problem, considering that it usually involves tasks for automatic detection, matching, tracking, motion analysis and deformation estimation. In spite of its complexity, this computational analysis has a wide range of important applications; for instance, in surveillance systems, clinical analysis of human gait, objects recognition, pose estimation and deformation analysis. Due to the extent of the purposes, several difficulties arise, such as the simultaneous tracking of manifold objects, their possible temporary occlusion or definitive disappearance from the image scene, changes of the viewpoints considered in images acquisition or of the illumination conditions, or even nonrigid deformations that objects may suffer in image sequences. In this paper, we present an overview of several methods that may be considered to analyze objects’ movement; namely, for their segmentation, tracking and matching in images, and for estimation of the deformation involved between images.
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spelling Computer analysis of objects’ movement in image sequences: methods and applicationsImage segmentationMovement tracking and Analysis,Matching, templatesDeformable modelsPoint distribution modelsLevel set methodsKalman filterComputer analysis of objects’ movement in image sequences is a very complex problem, considering that it usually involves tasks for automatic detection, matching, tracking, motion analysis and deformation estimation. In spite of its complexity, this computational analysis has a wide range of important applications; for instance, in surveillance systems, clinical analysis of human gait, objects recognition, pose estimation and deformation analysis. Due to the extent of the purposes, several difficulties arise, such as the simultaneous tracking of manifold objects, their possible temporary occlusion or definitive disappearance from the image scene, changes of the viewpoints considered in images acquisition or of the illumination conditions, or even nonrigid deformations that objects may suffer in image sequences. In this paper, we present an overview of several methods that may be considered to analyze objects’ movement; namely, for their segmentation, tracking and matching in images, and for estimation of the deformation involved between images.This paper was partially done in the scope of project “Segmentation, Tracking and Motion Analysis of Deformable (2D/3D) Objects using Physical Principles”, with reference POSC/EEA-SRI/55386/2004, financially supported by FCT -Fundação para a Ciência e a Tecnologia from Portugal. The fourth, fifth and seventh authors would like to thank also the support of their PhD grants from FCT with references SFRH/BD/29012/2006, SFRH/BD/28817/2006 and SFRH/BD/12834/2003, respectively.Biblioteca Digital do IPBTavares, João Manuel R.S.Carvalho, FernandoOliveira, FranciscoReis, IldaVasconcelos, Maria João M.Gonçalves, Patrícia C.T.Pinho, RaquelMa, Zhen2011-05-20T10:51:33Z20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/4427engTavares, João Manuel R. S.; Carvalho, Fernando; Oliveira, Francisco; Reis, Ilda; Vasconcelos, Maria João M.; Gonçalves, Patrícia; Pinho, Raquel; Ma, Zhen (2009). Computer analysis of objects’ movement in image sequences: methods and applications. International Journal for Computational Vision and Biomechanics. ISSN 0973-6778. 1:2, p. 209-2200973-6778info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T10:11:22Zoai:bibliotecadigital.ipb.pt:10198/4427Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:57:00.502429Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Computer analysis of objects’ movement in image sequences: methods and applications
title Computer analysis of objects’ movement in image sequences: methods and applications
spellingShingle Computer analysis of objects’ movement in image sequences: methods and applications
Tavares, João Manuel R.S.
Image segmentation
Movement tracking and Analysis,
Matching, templates
Deformable models
Point distribution models
Level set methods
Kalman filter
title_short Computer analysis of objects’ movement in image sequences: methods and applications
title_full Computer analysis of objects’ movement in image sequences: methods and applications
title_fullStr Computer analysis of objects’ movement in image sequences: methods and applications
title_full_unstemmed Computer analysis of objects’ movement in image sequences: methods and applications
title_sort Computer analysis of objects’ movement in image sequences: methods and applications
author Tavares, João Manuel R.S.
author_facet Tavares, João Manuel R.S.
Carvalho, Fernando
Oliveira, Francisco
Reis, Ilda
Vasconcelos, Maria João M.
Gonçalves, Patrícia C.T.
Pinho, Raquel
Ma, Zhen
author_role author
author2 Carvalho, Fernando
Oliveira, Francisco
Reis, Ilda
Vasconcelos, Maria João M.
Gonçalves, Patrícia C.T.
Pinho, Raquel
Ma, Zhen
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Tavares, João Manuel R.S.
Carvalho, Fernando
Oliveira, Francisco
Reis, Ilda
Vasconcelos, Maria João M.
Gonçalves, Patrícia C.T.
Pinho, Raquel
Ma, Zhen
dc.subject.por.fl_str_mv Image segmentation
Movement tracking and Analysis,
Matching, templates
Deformable models
Point distribution models
Level set methods
Kalman filter
topic Image segmentation
Movement tracking and Analysis,
Matching, templates
Deformable models
Point distribution models
Level set methods
Kalman filter
description Computer analysis of objects’ movement in image sequences is a very complex problem, considering that it usually involves tasks for automatic detection, matching, tracking, motion analysis and deformation estimation. In spite of its complexity, this computational analysis has a wide range of important applications; for instance, in surveillance systems, clinical analysis of human gait, objects recognition, pose estimation and deformation analysis. Due to the extent of the purposes, several difficulties arise, such as the simultaneous tracking of manifold objects, their possible temporary occlusion or definitive disappearance from the image scene, changes of the viewpoints considered in images acquisition or of the illumination conditions, or even nonrigid deformations that objects may suffer in image sequences. In this paper, we present an overview of several methods that may be considered to analyze objects’ movement; namely, for their segmentation, tracking and matching in images, and for estimation of the deformation involved between images.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
2011-05-20T10:51:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/4427
url http://hdl.handle.net/10198/4427
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Tavares, João Manuel R. S.; Carvalho, Fernando; Oliveira, Francisco; Reis, Ilda; Vasconcelos, Maria João M.; Gonçalves, Patrícia; Pinho, Raquel; Ma, Zhen (2009). Computer analysis of objects’ movement in image sequences: methods and applications. International Journal for Computational Vision and Biomechanics. ISSN 0973-6778. 1:2, p. 209-220
0973-6778
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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