Parallelizing tracking algorithms

Autores
Roldán, María Carina; Naiouf, Marcelo; De Giusti, Armando Eduardo
Año de publicación
2002
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In several applications, the trajectory of an entity, a feature or an object has to be tracked over a sequence of image frames. When the processing is to be performed in real time, there are important constraints leading to the parallelization of tracking algorithms. This paper presents the results of a concrete implementation, which deals with the particular case of simple objects moving in an context reachable by the vision element (video camera). The steps involved in the solution development are detailed, specially in relation to their parallelization by using a computer heterogeneous network and MPI (Message Passing Interface) support. Finally, an analysis of the different algorithms behavior is carried out together with the obtained results assessment, which allows knowing the performed parallelization efficiency, and determining under which conditions this solution turns out to be the best one.
Facultad de Informática
Materia
Ciencias Informáticas
Parallel programming
Multiprocessing/multiprogramming/multitasking
Tracking
Digitization and Image Capture
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:10915/9433

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spelling Parallelizing tracking algorithmsRoldán, María CarinaNaiouf, MarceloDe Giusti, Armando EduardoCiencias InformáticasParallel programmingMultiprocessing/multiprogramming/multitaskingTrackingDigitization and Image CaptureIn several applications, the trajectory of an entity, a feature or an object has to be tracked over a sequence of image frames. When the processing is to be performed in real time, there are important constraints leading to the parallelization of tracking algorithms. This paper presents the results of a concrete implementation, which deals with the particular case of simple objects moving in an context reachable by the vision element (video camera). The steps involved in the solution development are detailed, specially in relation to their parallelization by using a computer heterogeneous network and MPI (Message Passing Interface) support. Finally, an analysis of the different algorithms behavior is carried out together with the obtained results assessment, which allows knowing the performed parallelization efficiency, and determining under which conditions this solution turns out to be the best one.Facultad de Informática2002info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/9433enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/p51.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:UNLP2025-10-15T10:43:16Zoai:sedici.unlp.edu.ar:10915/9433Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:43:16.988SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Parallelizing tracking algorithms
title Parallelizing tracking algorithms
spellingShingle Parallelizing tracking algorithms
Roldán, María Carina
Ciencias Informáticas
Parallel programming
Multiprocessing/multiprogramming/multitasking
Tracking
Digitization and Image Capture
title_short Parallelizing tracking algorithms
title_full Parallelizing tracking algorithms
title_fullStr Parallelizing tracking algorithms
title_full_unstemmed Parallelizing tracking algorithms
title_sort Parallelizing tracking algorithms
dc.creator.none.fl_str_mv Roldán, María Carina
Naiouf, Marcelo
De Giusti, Armando Eduardo
author Roldán, María Carina
author_facet Roldán, María Carina
Naiouf, Marcelo
De Giusti, Armando Eduardo
author_role author
author2 Naiouf, Marcelo
De Giusti, Armando Eduardo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Parallel programming
Multiprocessing/multiprogramming/multitasking
Tracking
Digitization and Image Capture
topic Ciencias Informáticas
Parallel programming
Multiprocessing/multiprogramming/multitasking
Tracking
Digitization and Image Capture
dc.description.none.fl_txt_mv In several applications, the trajectory of an entity, a feature or an object has to be tracked over a sequence of image frames. When the processing is to be performed in real time, there are important constraints leading to the parallelization of tracking algorithms. This paper presents the results of a concrete implementation, which deals with the particular case of simple objects moving in an context reachable by the vision element (video camera). The steps involved in the solution development are detailed, specially in relation to their parallelization by using a computer heterogeneous network and MPI (Message Passing Interface) support. Finally, an analysis of the different algorithms behavior is carried out together with the obtained results assessment, which allows knowing the performed parallelization efficiency, and determining under which conditions this solution turns out to be the best one.
Facultad de Informática
description In several applications, the trajectory of an entity, a feature or an object has to be tracked over a sequence of image frames. When the processing is to be performed in real time, there are important constraints leading to the parallelization of tracking algorithms. This paper presents the results of a concrete implementation, which deals with the particular case of simple objects moving in an context reachable by the vision element (video camera). The steps involved in the solution development are detailed, specially in relation to their parallelization by using a computer heterogeneous network and MPI (Message Passing Interface) support. Finally, an analysis of the different algorithms behavior is carried out together with the obtained results assessment, which allows knowing the performed parallelization efficiency, and determining under which conditions this solution turns out to be the best one.
publishDate 2002
dc.date.none.fl_str_mv 2002
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info:eu-repo/semantics/publishedVersion
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dc.language.none.fl_str_mv eng
language eng
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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)
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