Robust methods for background extraction in video

Autores
Bruder, Martín; Roitman, Gustavo; Cernuschi Frias, Bruno
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this paper a framework is presented to automaticallyextract a sequence of images of the background of a scene from a shakyfilm. That is, the input video sequence may have local and global motionbut the output video must contain exclusively the static backgroundscene. Applying robust procedures to this end is one of the main goalsof this work, since the aim is to get a procedure not only resistant tolow scale noise but to occasional high scale noise. The median is used asan estimate of the background, the median absolute deviation (MAD) isused to establish a threshold to locate foreground and M-estimation forregression is used to stabilize the video sequence.
Fil: Bruder, Martín. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; Argentina
Fil: Roitman, Gustavo. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; Argentina
Fil: Cernuschi Frias, Bruno. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
41 JAIIO 13th Argentine Symposium on Artificial Intelligence
Buenos Aires
Argentina
Sociedad Argentina de Informática
Materia
BACKGROUND SUBTRACTION
ROBUST ESTIMATION
VIDEO STABILIZATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/157555
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/157555
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Robust methods for background extraction in videoBruder, MartínRoitman, GustavoCernuschi Frias, BrunoBACKGROUND SUBTRACTIONROBUST ESTIMATIONVIDEO STABILIZATIONhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In this paper a framework is presented to automaticallyextract a sequence of images of the background of a scene from a shakyfilm. That is, the input video sequence may have local and global motionbut the output video must contain exclusively the static backgroundscene. Applying robust procedures to this end is one of the main goalsof this work, since the aim is to get a procedure not only resistant tolow scale noise but to occasional high scale noise. The median is used asan estimate of the background, the median absolute deviation (MAD) isused to establish a threshold to locate foreground and M-estimation forregression is used to stabilize the video sequence.Fil: Bruder, Martín. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; ArgentinaFil: Roitman, Gustavo. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; ArgentinaFil: Cernuschi Frias, Bruno. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina41 JAIIO 13th Argentine Symposium on Artificial IntelligenceBuenos AiresArgentinaSociedad Argentina de InformáticaSociedad Argentina de Informática2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/157555Robust methods for background extraction in video; 41 JAIIO 13th Argentine Symposium on Artificial Intelligence; Buenos Aires; Argentina; 2012; 83-951850-2806CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/8_ASAI_2012.pdfNacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:13:34Zoai:ri.conicet.gov.ar:11336/157555instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:13:34.641CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Robust methods for background extraction in video
title Robust methods for background extraction in video
spellingShingle Robust methods for background extraction in video
Bruder, Martín
BACKGROUND SUBTRACTION
ROBUST ESTIMATION
VIDEO STABILIZATION
title_short Robust methods for background extraction in video
title_full Robust methods for background extraction in video
title_fullStr Robust methods for background extraction in video
title_full_unstemmed Robust methods for background extraction in video
title_sort Robust methods for background extraction in video
dc.creator.none.fl_str_mv Bruder, Martín
Roitman, Gustavo
Cernuschi Frias, Bruno
author Bruder, Martín
author_facet Bruder, Martín
Roitman, Gustavo
Cernuschi Frias, Bruno
author_role author
author2 Roitman, Gustavo
Cernuschi Frias, Bruno
author2_role author
author
dc.subject.none.fl_str_mv BACKGROUND SUBTRACTION
ROBUST ESTIMATION
VIDEO STABILIZATION
topic BACKGROUND SUBTRACTION
ROBUST ESTIMATION
VIDEO STABILIZATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this paper a framework is presented to automaticallyextract a sequence of images of the background of a scene from a shakyfilm. That is, the input video sequence may have local and global motionbut the output video must contain exclusively the static backgroundscene. Applying robust procedures to this end is one of the main goalsof this work, since the aim is to get a procedure not only resistant tolow scale noise but to occasional high scale noise. The median is used asan estimate of the background, the median absolute deviation (MAD) isused to establish a threshold to locate foreground and M-estimation forregression is used to stabilize the video sequence.
Fil: Bruder, Martín. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; Argentina
Fil: Roitman, Gustavo. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; Argentina
Fil: Cernuschi Frias, Bruno. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina
41 JAIIO 13th Argentine Symposium on Artificial Intelligence
Buenos Aires
Argentina
Sociedad Argentina de Informática
description In this paper a framework is presented to automaticallyextract a sequence of images of the background of a scene from a shakyfilm. That is, the input video sequence may have local and global motionbut the output video must contain exclusively the static backgroundscene. Applying robust procedures to this end is one of the main goalsof this work, since the aim is to get a procedure not only resistant tolow scale noise but to occasional high scale noise. The median is used asan estimate of the background, the median absolute deviation (MAD) isused to establish a threshold to locate foreground and M-estimation forregression is used to stabilize the video sequence.
publishDate 2012
dc.date.none.fl_str_mv 2012
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Congreso
Journal
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/157555
Robust methods for background extraction in video; 41 JAIIO 13th Argentine Symposium on Artificial Intelligence; Buenos Aires; Argentina; 2012; 83-95
1850-2806
CONICET Digital
CONICET
url http://hdl.handle.net/11336/157555
identifier_str_mv Robust methods for background extraction in video; 41 JAIIO 13th Argentine Symposium on Artificial Intelligence; Buenos Aires; Argentina; 2012; 83-95
1850-2806
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/8_ASAI_2012.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv Nacional
dc.publisher.none.fl_str_mv Sociedad Argentina de Informática
publisher.none.fl_str_mv Sociedad Argentina de Informática
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083283393183744
score 13.22299

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