Alignment of velocity fields for video surveillance
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/8090 https://doi.org/10.1016/j.patrec.2012.05.005 |
Resumo: | Velocity fields play an important role in surveillance since they describe typical motion behaviors of video objects (e.g., pedestrians) in the scene. This paper presents an algorithm for the alignment of velocity fields acquired by different cameras, at different time intervals, from different viewpoints. Velocity fields are aligned using a warping function which maps corresponding points and vectors in both fields. The warping parameters are estimated by minimizing a non-linear least squares energy. Experimental tests show that the proposed model is able to compensate significant misalignments, including translation, rotation and scaling. |
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7160 |
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Alignment of velocity fields for video surveillanceVelocity fields play an important role in surveillance since they describe typical motion behaviors of video objects (e.g., pedestrians) in the scene. This paper presents an algorithm for the alignment of velocity fields acquired by different cameras, at different time intervals, from different viewpoints. Velocity fields are aligned using a warping function which maps corresponding points and vectors in both fields. The warping parameters are estimated by minimizing a non-linear least squares energy. Experimental tests show that the proposed model is able to compensate significant misalignments, including translation, rotation and scaling.Elsevier2013-01-30T16:50:06Z2013-01-302012-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/8090http://hdl.handle.net/10174/8090https://doi.org/10.1016/j.patrec.2012.05.005engJ. S. Marques, M. Barão, J. M. Lemos, "Alignment of velocity fields for video surveillance", Pattern Recognition Letters, no. 33, pp. 1632–1637, 2012.ndmjsb@uevora.ptnd281Marques, Jorge S.Barão, MiguelLemos, João M.info: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:RCAAP2024-01-03T18:48:50Zoai:dspace.uevora.pt:10174/8090Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:02:28.447003Repositório 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 |
Alignment of velocity fields for video surveillance |
title |
Alignment of velocity fields for video surveillance |
spellingShingle |
Alignment of velocity fields for video surveillance Marques, Jorge S. |
title_short |
Alignment of velocity fields for video surveillance |
title_full |
Alignment of velocity fields for video surveillance |
title_fullStr |
Alignment of velocity fields for video surveillance |
title_full_unstemmed |
Alignment of velocity fields for video surveillance |
title_sort |
Alignment of velocity fields for video surveillance |
author |
Marques, Jorge S. |
author_facet |
Marques, Jorge S. Barão, Miguel Lemos, João M. |
author_role |
author |
author2 |
Barão, Miguel Lemos, João M. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Marques, Jorge S. Barão, Miguel Lemos, João M. |
description |
Velocity fields play an important role in surveillance since they describe typical motion behaviors of video objects (e.g., pedestrians) in the scene. This paper presents an algorithm for the alignment of velocity fields acquired by different cameras, at different time intervals, from different viewpoints. Velocity fields are aligned using a warping function which maps corresponding points and vectors in both fields. The warping parameters are estimated by minimizing a non-linear least squares energy. Experimental tests show that the proposed model is able to compensate significant misalignments, including translation, rotation and scaling. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-05-01T00:00:00Z 2013-01-30T16:50:06Z 2013-01-30 |
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/10174/8090 http://hdl.handle.net/10174/8090 https://doi.org/10.1016/j.patrec.2012.05.005 |
url |
http://hdl.handle.net/10174/8090 https://doi.org/10.1016/j.patrec.2012.05.005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
J. S. Marques, M. Barão, J. M. Lemos, "Alignment of velocity fields for video surveillance", Pattern Recognition Letters, no. 33, pp. 1632–1637, 2012. nd mjsb@uevora.pt nd 281 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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