A multiple object tracking system applied to insect behavior

Autores
Marcovecchio, Diego; Stefanazzi, Natalia; Delrieux, Claudio; Maguitman, Ana Gabriela; Ferrero, Adriana
Año de publicación
2013
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Segmentation and tracking of multiple objects is an extensively researched eld among Image Sciences. Multiple object tracking is, in general, a very hard problem due to the great number of potencial issues that might arise (such as the sudden movement of the tracked objects, changes on the appearence of either the tracked objects or the background scene, bad-quality frames, occlusion between an object and the scene or between multiple objects, or camera movement). Normally, object tracking is performed on applications that require the object locations to perform calculations later. This paper describes the research, design and development of a system created in order to track multiple insects on recorded videos.
WCGIV - XI Workshop computación gráfica, imágenes y visualización
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Software
video processing
object tracking
computer vision
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/31678
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/31678
network_acronym_str SEDICI
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network_name_str SEDICI (UNLP)
spelling A multiple object tracking system applied to insect behaviorMarcovecchio, DiegoStefanazzi, NataliaDelrieux, ClaudioMaguitman, Ana GabrielaFerrero, AdrianaCiencias InformáticasSoftwarevideo processingobject trackingcomputer visionSegmentation and tracking of multiple objects is an extensively researched eld among Image Sciences. Multiple object tracking is, in general, a very hard problem due to the great number of potencial issues that might arise (such as the sudden movement of the tracked objects, changes on the appearence of either the tracked objects or the background scene, bad-quality frames, occlusion between an object and the scene or between multiple objects, or camera movement). Normally, object tracking is performed on applications that require the object locations to perform calculations later. This paper describes the research, design and development of a system created in order to track multiple insects on recorded videos.WCGIV - XI Workshop computación gráfica, imágenes y visualizaciónRed de Universidades con Carreras en Informática (RedUNCI)2013-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/31678enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:58:01Zoai:sedici.unlp.edu.ar:10915/31678Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:58:02.005SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A multiple object tracking system applied to insect behavior
title A multiple object tracking system applied to insect behavior
spellingShingle A multiple object tracking system applied to insect behavior
Marcovecchio, Diego
Ciencias Informáticas
Software
video processing
object tracking
computer vision
title_short A multiple object tracking system applied to insect behavior
title_full A multiple object tracking system applied to insect behavior
title_fullStr A multiple object tracking system applied to insect behavior
title_full_unstemmed A multiple object tracking system applied to insect behavior
title_sort A multiple object tracking system applied to insect behavior
dc.creator.none.fl_str_mv Marcovecchio, Diego
Stefanazzi, Natalia
Delrieux, Claudio
Maguitman, Ana Gabriela
Ferrero, Adriana
author Marcovecchio, Diego
author_facet Marcovecchio, Diego
Stefanazzi, Natalia
Delrieux, Claudio
Maguitman, Ana Gabriela
Ferrero, Adriana
author_role author
author2 Stefanazzi, Natalia
Delrieux, Claudio
Maguitman, Ana Gabriela
Ferrero, Adriana
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Software
video processing
object tracking
computer vision
topic Ciencias Informáticas
Software
video processing
object tracking
computer vision
dc.description.none.fl_txt_mv Segmentation and tracking of multiple objects is an extensively researched eld among Image Sciences. Multiple object tracking is, in general, a very hard problem due to the great number of potencial issues that might arise (such as the sudden movement of the tracked objects, changes on the appearence of either the tracked objects or the background scene, bad-quality frames, occlusion between an object and the scene or between multiple objects, or camera movement). Normally, object tracking is performed on applications that require the object locations to perform calculations later. This paper describes the research, design and development of a system created in order to track multiple insects on recorded videos.
WCGIV - XI Workshop computación gráfica, imágenes y visualización
Red de Universidades con Carreras en Informática (RedUNCI)
description Segmentation and tracking of multiple objects is an extensively researched eld among Image Sciences. Multiple object tracking is, in general, a very hard problem due to the great number of potencial issues that might arise (such as the sudden movement of the tracked objects, changes on the appearence of either the tracked objects or the background scene, bad-quality frames, occlusion between an object and the scene or between multiple objects, or camera movement). Normally, object tracking is performed on applications that require the object locations to perform calculations later. This paper describes the research, design and development of a system created in order to track multiple insects on recorded videos.
publishDate 2013
dc.date.none.fl_str_mv 2013-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/31678
url http://sedici.unlp.edu.ar/handle/10915/31678
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
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 13.070432

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