Deterministic and stochastic methods for gaze tracking in real-time

Psychological evidence demonstrates how eye gaze analysis is requested for human computer interaction endowed with emotion recognition capabilities. The existing proposals analyse eyelid and iris motion by using colour information and edge detectors, but eye movements are quite fast and difficult fo...

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Detalles Bibliográficos
Autores: Orozco, Francisco J., Roca, Francesc Xavier, Gonzàlez, Jordi
Tipo de recurso: capítulo de libro
Fecha de publicación:2007
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/2667
Acceso en línea:https://hdl.handle.net/2117/2667
Access Level:acceso abierto
Palabra clave:Computer vision
Visió per ordinador
Classificació INSPEC::Pattern recognition::Computer vision
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
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repository_id_str
spelling Deterministic and stochastic methods for gaze tracking in real-timeOrozco, Francisco J.Roca, Francesc XavierGonzàlez, JordiComputer visionVisió per ordinadorClassificació INSPEC::Pattern recognition::Computer visionÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeoPsychological evidence demonstrates how eye gaze analysis is requested for human computer interaction endowed with emotion recognition capabilities. The existing proposals analyse eyelid and iris motion by using colour information and edge detectors, but eye movements are quite fast and difficult for precise and robust tracking. Instead, we propose to reduce the dimensionality of the image-data by using multi-Gaussian modelling and transition estimations by applying partial differences. The tracking system can handle illumination changes, low-image resolution and occlusions while estimating eyelid and iris movements as continuous variables. Therefore, this is an accurate and robust tracking system for eyelids and irises in 3D for standard image quality.Peer ReviewedSpringer20072007-01-0120092009-03-13book parthttp://purl.org/coar/resource_type/c_3248NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/2117/2667reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/26672026-05-27T15:37:01Z
dc.title.none.fl_str_mv Deterministic and stochastic methods for gaze tracking in real-time
title Deterministic and stochastic methods for gaze tracking in real-time
spellingShingle Deterministic and stochastic methods for gaze tracking in real-time
Orozco, Francisco J.
Computer vision
Visió per ordinador
Classificació INSPEC::Pattern recognition::Computer vision
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
title_short Deterministic and stochastic methods for gaze tracking in real-time
title_full Deterministic and stochastic methods for gaze tracking in real-time
title_fullStr Deterministic and stochastic methods for gaze tracking in real-time
title_full_unstemmed Deterministic and stochastic methods for gaze tracking in real-time
title_sort Deterministic and stochastic methods for gaze tracking in real-time
dc.creator.none.fl_str_mv Orozco, Francisco J.
Roca, Francesc Xavier
Gonzàlez, Jordi
author Orozco, Francisco J.
author_facet Orozco, Francisco J.
Roca, Francesc Xavier
Gonzàlez, Jordi
author_role author
author2 Roca, Francesc Xavier
Gonzàlez, Jordi
author2_role author
author
dc.subject.none.fl_str_mv Computer vision
Visió per ordinador
Classificació INSPEC::Pattern recognition::Computer vision
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
topic Computer vision
Visió per ordinador
Classificació INSPEC::Pattern recognition::Computer vision
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
description Psychological evidence demonstrates how eye gaze analysis is requested for human computer interaction endowed with emotion recognition capabilities. The existing proposals analyse eyelid and iris motion by using colour information and edge detectors, but eye movements are quite fast and difficult for precise and robust tracking. Instead, we propose to reduce the dimensionality of the image-data by using multi-Gaussian modelling and transition estimations by applying partial differences. The tracking system can handle illumination changes, low-image resolution and occlusions while estimating eyelid and iris movements as continuous variables. Therefore, this is an accurate and robust tracking system for eyelids and irises in 3D for standard image quality.
publishDate 2007
dc.date.none.fl_str_mv 2007
2007-01-01
2009
2009-03-13
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/2667
url https://hdl.handle.net/2117/2667
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
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
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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
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score 15,300724

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