Computer Analysis of Objects' Movement in Image Sequences: Methods and Applications

Bibliographic Details
Main Author: João Manuel R. S. Tavares
Publication Date: 2009
Other Authors: Fernando J. S. Carvalho, Francisco P. M. Oliveira, Maria João Medeiros de Vasconcelos, Ilda M. Sá Reis, Patrícia Carla Teixeira Gonçalves, Raquel Ramos Pinho, Ma Zhen
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/21527
Summary: 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 non-rigid 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 ApplicationsProcessamento de imagem, Engenharia mecânicaImage processing, Mechanical engineeringComputer 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 non-rigid 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.20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/21527eng0973-6778João Manuel R. S. TavaresFernando J. S. CarvalhoFrancisco P. M. OliveiraMaria João Medeiros de VasconcelosIlda M. Sá ReisPatrícia Carla Teixeira GonçalvesRaquel Ramos PinhoMa Zheninfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T20:01:52Zoai:repositorio-aberto.up.pt:10216/21527Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T23:45:19.153872Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
João Manuel R. S. Tavares
Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
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 João Manuel R. S. Tavares
author_facet João Manuel R. S. Tavares
Fernando J. S. Carvalho
Francisco P. M. Oliveira
Maria João Medeiros de Vasconcelos
Ilda M. Sá Reis
Patrícia Carla Teixeira Gonçalves
Raquel Ramos Pinho
Ma Zhen
author_role author
author2 Fernando J. S. Carvalho
Francisco P. M. Oliveira
Maria João Medeiros de Vasconcelos
Ilda M. Sá Reis
Patrícia Carla Teixeira Gonçalves
Raquel Ramos Pinho
Ma Zhen
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv João Manuel R. S. Tavares
Fernando J. S. Carvalho
Francisco P. M. Oliveira
Maria João Medeiros de Vasconcelos
Ilda M. Sá Reis
Patrícia Carla Teixeira Gonçalves
Raquel Ramos Pinho
Ma Zhen
dc.subject.por.fl_str_mv Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
topic Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
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 non-rigid 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
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0973-6778
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repository.mail.fl_str_mv info@rcaap.pt
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