A multiple object tracking system applied to insect behavior

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 appearen...

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Detalles Bibliográficos
Autores principales: Marcovecchio, Diego, Stefanazzi, Natalia, Delrieux, Claudio, Maguitman, Ana Gabriela, Ferrero, Adriana
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
Software
video processing
object tracking
computer vision
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/31678
Aporte de:
Aportado por : SEDICI (UNLP) de Universidad Nacional de La Plata .
id I19-R120-10915-31678
record_format dspace
spelling I19-R120-10915-316782019-01-01T04:02:43Z http://sedici.unlp.edu.ar/handle/10915/31678 A multiple object tracking system applied to insect behavior Marcovecchio, Diego Stefanazzi, Natalia Delrieux, Claudio Maguitman, Ana Gabriela Ferrero, Adriana 2013-10 2013-12-03T16:30:59Z en Ciencias Informáticas Software video processing object tracking computer vision 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) Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Software
video processing
object tracking
computer vision
spellingShingle Ciencias Informáticas
Software
video processing
object tracking
computer vision
Marcovecchio, Diego
Stefanazzi, Natalia
Delrieux, Claudio
Maguitman, Ana Gabriela
Ferrero, Adriana
A multiple object tracking system applied to insect behavior
topic_facet Ciencias Informáticas
Software
video processing
object tracking
computer vision
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.
format Objeto de conferencia
Objeto de conferencia
author Marcovecchio, Diego
Stefanazzi, Natalia
Delrieux, Claudio
Maguitman, Ana Gabriela
Ferrero, Adriana
author_facet Marcovecchio, Diego
Stefanazzi, Natalia
Delrieux, Claudio
Maguitman, Ana Gabriela
Ferrero, Adriana
author_sort Marcovecchio, Diego
title A multiple object tracking system applied to insect behavior
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 multiple object tracking system applied to insect behavior
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/31678
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AT ferreroadriana multipleobjecttrackingsystemappliedtoinsectbehavior
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