Computer Analysis of Objects' Movement in Image Sequences: Methods and Applications
Main Author: | |
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Publication Date: | 2009 |
Other Authors: | , , , , , , |
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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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 |
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 |
https://hdl.handle.net/10216/21527 |
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https://hdl.handle.net/10216/21527 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0973-6778 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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