Video Object Tracking using foreground models

Improvement of object tracking techniques using grab cut an foreground models

Bibliographic Details
Author: Maccarana, Stefano
Format: master thesis
Publication Date:2016
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/82727
Online Access:https://hdl.handle.net/2117/82727
Access Level:Open access
Keyword:Digital video -- Editing
foreground
background
segmentation
models
Video digital -- Edició
Imatges -- Processamen
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
id ES_7ea140f1e706b27f3bfede4685db84e7
oai_identifier_str oai:upcommons.upc.edu:2117/82727
network_acronym_str ES
network_name_str España
repository_id_str
spelling Video Object Tracking using foreground modelsVIDEO OBJECT TRACKING USING FOREGROUND MODELSMaccarana, StefanoDigital video -- EditingforegroundbackgroundsegmentationmodelsVideo digital -- EdicióImatges -- ProcessamenÀrees temàtiques de la UPC::Enginyeria de la telecomunicacióImprovement of object tracking techniques using grab cut an foreground modelsThis Master Thesis present an approach to Video Object Tracking segmentation using foreground models. For the video sequences analysed, the foreground and the background have been modelled using Spatial Colour Gaussian Mixture Models (SCGMMs). SCGMMs are Gaussian Models which describes the foreground and the background using five components in colour and spatial domains. In order to have a better result in the segmentation process, the Gaussian Models computed for each frame are passed to the next frame using a tacking technique that helps in the individuation of the object in foreground alone the sequence. Using the location provided by the tracking, the Gaussian Mixture Model for the background is computed only in the close region around the object in foreground allowing in this way a better modelling of the region. The Thesis is structure as follows: after a presentation of the study of the State of the Art where the techniques for tracking and segmentation are presented, there is the presentation of the method proposed. At the end there is a Chapter that describes the results obtained and some conclusions and a Chapter which presents some future developments.Universitat Politècnica de CatalunyaPardàs Feliu, Montse20162016-02-0420162016-02-09master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/82727reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/827272026-05-27T15:37:01Z
dc.title.none.fl_str_mv Video Object Tracking using foreground models
VIDEO OBJECT TRACKING USING FOREGROUND MODELS
title Video Object Tracking using foreground models
spellingShingle Video Object Tracking using foreground models
Maccarana, Stefano
Digital video -- Editing
foreground
background
segmentation
models
Video digital -- Edició
Imatges -- Processamen
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
title_short Video Object Tracking using foreground models
title_full Video Object Tracking using foreground models
title_fullStr Video Object Tracking using foreground models
title_full_unstemmed Video Object Tracking using foreground models
title_sort Video Object Tracking using foreground models
dc.creator.none.fl_str_mv Maccarana, Stefano
author Maccarana, Stefano
author_facet Maccarana, Stefano
author_role author
dc.contributor.none.fl_str_mv Pardàs Feliu, Montse
dc.subject.none.fl_str_mv Digital video -- Editing
foreground
background
segmentation
models
Video digital -- Edició
Imatges -- Processamen
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
topic Digital video -- Editing
foreground
background
segmentation
models
Video digital -- Edició
Imatges -- Processamen
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
description Improvement of object tracking techniques using grab cut an foreground models
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-02-04
2016
2016-02-09
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/82727
url https://hdl.handle.net/2117/82727
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869411749688508416
score 15,301603

Similar Items