Semi-automatic object tracking in video sequences

Autores
Lecumberry, Federico; Pardo, Álvaro
Año de publicación
2005
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A method is presented for semi-automatic object tracking in video sequences using multiple features and a method for probabilistic relaxation to improve the tracking results producing smooth and accurate tracked borders. Starting from a given initial position of the object in the first frame the proposed method automatically tracks the object in the sequence modelling the a posteriori probabilities of a set of features such as color, position and motion, depth, etc.
Facultad de Informática
Materia
Ciencias Informáticas
Signal processing
Video (e.g., tape, disk, DVI)
Segmentation
Object recognition
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/9596
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/9596
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Semi-automatic object tracking in video sequencesLecumberry, FedericoPardo, ÁlvaroCiencias InformáticasSignal processingVideo (e.g., tape, disk, DVI)SegmentationObject recognitionA method is presented for semi-automatic object tracking in video sequences using multiple features and a method for probabilistic relaxation to improve the tracking results producing smooth and accurate tracked borders. Starting from a given initial position of the object in the first frame the proposed method automatically tracks the object in the sequence modelling the a posteriori probabilities of a set of features such as color, position and motion, depth, etc.Facultad de Informática2005-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf218-224http://sedici.unlp.edu.ar/handle/10915/9596enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec05-9.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:23:35Zoai:sedici.unlp.edu.ar:10915/9596Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:23:35.373SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Semi-automatic object tracking in video sequences
title Semi-automatic object tracking in video sequences
spellingShingle Semi-automatic object tracking in video sequences
Lecumberry, Federico
Ciencias Informáticas
Signal processing
Video (e.g., tape, disk, DVI)
Segmentation
Object recognition
title_short Semi-automatic object tracking in video sequences
title_full Semi-automatic object tracking in video sequences
title_fullStr Semi-automatic object tracking in video sequences
title_full_unstemmed Semi-automatic object tracking in video sequences
title_sort Semi-automatic object tracking in video sequences
dc.creator.none.fl_str_mv Lecumberry, Federico
Pardo, Álvaro
author Lecumberry, Federico
author_facet Lecumberry, Federico
Pardo, Álvaro
author_role author
author2 Pardo, Álvaro
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Signal processing
Video (e.g., tape, disk, DVI)
Segmentation
Object recognition
topic Ciencias Informáticas
Signal processing
Video (e.g., tape, disk, DVI)
Segmentation
Object recognition
dc.description.none.fl_txt_mv A method is presented for semi-automatic object tracking in video sequences using multiple features and a method for probabilistic relaxation to improve the tracking results producing smooth and accurate tracked borders. Starting from a given initial position of the object in the first frame the proposed method automatically tracks the object in the sequence modelling the a posteriori probabilities of a set of features such as color, position and motion, depth, etc.
Facultad de Informática
description A method is presented for semi-automatic object tracking in video sequences using multiple features and a method for probabilistic relaxation to improve the tracking results producing smooth and accurate tracked borders. Starting from a given initial position of the object in the first frame the proposed method automatically tracks the object in the sequence modelling the a posteriori probabilities of a set of features such as color, position and motion, depth, etc.
publishDate 2005
dc.date.none.fl_str_mv 2005-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/9596
url http://sedici.unlp.edu.ar/handle/10915/9596
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec05-9.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
218-224
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.13397

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