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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/31678
Ver los metadatos del registro completo
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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:UNLP2025-09-03T10:30:47Zoai: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:13292025-09-03 10:30:48.534SEDICI (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 |
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SEDICI (UNLP) |
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SEDICI (UNLP) |
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Universidad Nacional de La Plata |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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score |
13.13397 |