Parallelizing tracking algorithms

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...

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Detalles Bibliográficos
Autores principales: Roldán, María Carina, Naiouf, Marcelo, De Giusti, Armando Eduardo
Formato: Articulo
Lenguaje:Inglés
Publicado: 2002
Materias:
Ciencias Informáticas
Parallel programming
Multiprocessing/multiprogramming/multitasking
Tracking
Digitization and Image Capture
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9433
http://journal.info.unlp.edu.ar/wp-content/uploads/p51.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9433
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Parallel programming
Multiprocessing/multiprogramming/multitasking
Tracking
Digitization and Image Capture
spellingShingle Ciencias Informáticas
Parallel programming
Multiprocessing/multiprogramming/multitasking
Tracking
Digitization and Image Capture
Roldán, María Carina
Naiouf, Marcelo
De Giusti, Armando Eduardo
Parallelizing tracking algorithms
topic_facet Ciencias Informáticas
Parallel programming
Multiprocessing/multiprogramming/multitasking
Tracking
Digitization and Image Capture
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.
format Articulo
Articulo
author Roldán, María Carina
Naiouf, Marcelo
De Giusti, Armando Eduardo
author_facet Roldán, María Carina
Naiouf, Marcelo
De Giusti, Armando Eduardo
author_sort Roldán, María Carina
title Parallelizing tracking algorithms
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
publishDate 2002
url http://sedici.unlp.edu.ar/handle/10915/9433
http://journal.info.unlp.edu.ar/wp-content/uploads/p51.pdf
work_keys_str_mv AT roldanmariacarina parallelizingtrackingalgorithms
AT naioufmarcelo parallelizingtrackingalgorithms
AT degiustiarmandoeduardo parallelizingtrackingalgorithms
bdutipo_str Repositorios
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