Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman Filter
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://repositorio-aberto.up.pt/handle/10216/348 |
Resumo: | In this paper, we address the problem of tracking feature points along image sequences efficiently. Thus, to estimate the undergoing movement we use an approach based on Kalman filtering, which performs the prediction and correction of the features movement in every image frame. Measured data is incorporated by optimizing the global association set built on efficient approximations of the Mahalanobis distance (MD). We analyze the difference between the usage in the tracking results of the original MD formulation and its more efficient approximation, as well as the related computational costs. Experimental results which validate our approach are presented. |
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Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman FilterEngenhariaEngineeringIn this paper, we address the problem of tracking feature points along image sequences efficiently. Thus, to estimate the undergoing movement we use an approach based on Kalman filtering, which performs the prediction and correction of the features movement in every image frame. Measured data is incorporated by optimizing the global association set built on efficient approximations of the Mahalanobis distance (MD). We analyze the difference between the usage in the tracking results of the original MD formulation and its more efficient approximation, as well as the related computational costs. Experimental results which validate our approach are presented.20072007-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/348eng1726452910.2507/IJSIMM06(2)S.03R. R. PinhoJ. M. R. S TavaresM. F. V. Correiainfo: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:RCAAP2023-11-29T13:40:38Zoai:repositorio-aberto.up.pt:10216/348Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:45:26.877536Repositório 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 |
Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman Filter |
title |
Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman Filter |
spellingShingle |
Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman Filter R. R. Pinho Engenharia Engineering |
title_short |
Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman Filter |
title_full |
Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman Filter |
title_fullStr |
Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman Filter |
title_full_unstemmed |
Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman Filter |
title_sort |
Efficient Approximation of the Mahalanobis Distance for Tracking with the Kalman Filter |
author |
R. R. Pinho |
author_facet |
R. R. Pinho J. M. R. S Tavares M. F. V. Correia |
author_role |
author |
author2 |
J. M. R. S Tavares M. F. V. Correia |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
R. R. Pinho J. M. R. S Tavares M. F. V. Correia |
dc.subject.por.fl_str_mv |
Engenharia Engineering |
topic |
Engenharia Engineering |
description |
In this paper, we address the problem of tracking feature points along image sequences efficiently. Thus, to estimate the undergoing movement we use an approach based on Kalman filtering, which performs the prediction and correction of the features movement in every image frame. Measured data is incorporated by optimizing the global association set built on efficient approximations of the Mahalanobis distance (MD). We analyze the difference between the usage in the tracking results of the original MD formulation and its more efficient approximation, as well as the related computational costs. Experimental results which validate our approach are presented. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007 2007-01-01T00:00:00Z |
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://repositorio-aberto.up.pt/handle/10216/348 |
url |
https://repositorio-aberto.up.pt/handle/10216/348 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
17264529 10.2507/IJSIMM06(2)S.03 |
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 |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
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 |
repository.mail.fl_str_mv |
|
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1799135771454603264 |