Automatic learning of conceptual knowledge in image sequences for human behavior interpretation

This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source is the geometrical data obtained by applying tracking algorithms to an image sequence, which is used to generate concep...

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Bibliographic Details
Authors: Baiget, Pau, Fernández, Carles, Roca, Francesc Xavier, Gonzàlez, Jordi
Format: book part
Publication Date:2007
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:2117/2681
Online Access:https://hdl.handle.net/2117/2681
Access Level:Open access
Keyword: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
id ES_db2ecabdf277705ca51f564be9d7c9a8
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network_acronym_str ES
network_name_str España
repository_id_str
spelling Automatic learning of conceptual knowledge in image sequences for human behavior interpretationBaiget, PauFernández, CarlesRoca, 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 vídeoThis work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source is the geometrical data obtained by applying tracking algorithms to an image sequence, which is used to generate conceptual data. The spatial characteristics of the scene are automatically extracted from the resuling tracking trajectories obtained during a training period. Interpretation is achieved by means of a rule-based inference engine called Fuzzy Metric Temporal Horn Logic and a behavior modeling tool called Situation Graph Tree. These tools are used to generate conceptual descriptions which semantically describe observed behaviors.Peer ReviewedSpringer Verlag20072007-01-0120092009-03-13book parthttp://purl.org/coar/resource_type/c_3248NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/2117/2681reponame: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:2117/26812026-05-27T15:37:01Z
dc.title.none.fl_str_mv Automatic learning of conceptual knowledge in image sequences for human behavior interpretation
title Automatic learning of conceptual knowledge in image sequences for human behavior interpretation
spellingShingle Automatic learning of conceptual knowledge in image sequences for human behavior interpretation
Baiget, Pau
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 Automatic learning of conceptual knowledge in image sequences for human behavior interpretation
title_full Automatic learning of conceptual knowledge in image sequences for human behavior interpretation
title_fullStr Automatic learning of conceptual knowledge in image sequences for human behavior interpretation
title_full_unstemmed Automatic learning of conceptual knowledge in image sequences for human behavior interpretation
title_sort Automatic learning of conceptual knowledge in image sequences for human behavior interpretation
dc.creator.none.fl_str_mv Baiget, Pau
Fernández, Carles
Roca, Francesc Xavier
Gonzàlez, Jordi
author Baiget, Pau
author_facet Baiget, Pau
Fernández, Carles
Roca, Francesc Xavier
Gonzàlez, Jordi
author_role author
author2 Fernández, Carles
Roca, Francesc Xavier
Gonzàlez, Jordi
author2_role author
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 This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source is the geometrical data obtained by applying tracking algorithms to an image sequence, which is used to generate conceptual data. The spatial characteristics of the scene are automatically extracted from the resuling tracking trajectories obtained during a training period. Interpretation is achieved by means of a rule-based inference engine called Fuzzy Metric Temporal Horn Logic and a behavior modeling tool called Situation Graph Tree. These tools are used to generate conceptual descriptions which semantically describe observed behaviors.
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/2117/2681
url https://hdl.handle.net/2117/2681
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 Verlag
publisher.none.fl_str_mv Springer Verlag
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_ 1869421650728976384
score 15.301629

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