N-ary trees classifier

Bibliographic Details
Main Author: Duque, Duarte
Publication Date: 2006
Other Authors: Santos, Henrique Dinis dos, Cortez, Paulo
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/5558
Summary: This paper addresses the problem of automatic detection and prediction of abnormal human behaviours in public spaces. For this propose a novel classifier, called N-ary trees, is presented. The classifier processes time series of attributes like the object position, velocity, perimeter and area, to infer the type of action performed. This innovative classifier can detect three types of events: normal; unusual; or abnormal events. In order to evaluate the performance of the N-ary trees classifier, we carry out a preliminary study with 180 synthetic tracks and one restricted area. The results revealed a great level of accuracy and that the proposed method can be used in surveillance systems.
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spelling N-ary trees classifierVideo surveillanceBehaviour detection and predictionScience & TechnologyThis paper addresses the problem of automatic detection and prediction of abnormal human behaviours in public spaces. For this propose a novel classifier, called N-ary trees, is presented. The classifier processes time series of attributes like the object position, velocity, perimeter and area, to infer the type of action performed. This innovative classifier can detect three types of events: normal; unusual; or abnormal events. In order to evaluate the performance of the N-ary trees classifier, we carry out a preliminary study with 180 synthetic tracks and one restricted area. The results revealed a great level of accuracy and that the proposed method can be used in surveillance systems.Fundação para a Ciência e a Tecnologia (FCT).INSTICC PressUniversidade do MinhoDuque, DuarteSantos, Henrique Dinis dosCortez, Paulo20062006-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/5558engINTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, 3, Setúbal, Portugal, 2006 – “ICINCO 2006 : proceedings”. [S.l.] : INSTICC Press, 2006. ISBN 978-972-8865-60-3.978-972-8865-60-3info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T07:09:59Zoai:repositorium.sdum.uminho.pt:1822/5558Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:17:49.484526Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv N-ary trees classifier
title N-ary trees classifier
spellingShingle N-ary trees classifier
Duque, Duarte
Video surveillance
Behaviour detection and prediction
Science & Technology
title_short N-ary trees classifier
title_full N-ary trees classifier
title_fullStr N-ary trees classifier
title_full_unstemmed N-ary trees classifier
title_sort N-ary trees classifier
author Duque, Duarte
author_facet Duque, Duarte
Santos, Henrique Dinis dos
Cortez, Paulo
author_role author
author2 Santos, Henrique Dinis dos
Cortez, Paulo
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Duque, Duarte
Santos, Henrique Dinis dos
Cortez, Paulo
dc.subject.por.fl_str_mv Video surveillance
Behaviour detection and prediction
Science & Technology
topic Video surveillance
Behaviour detection and prediction
Science & Technology
description This paper addresses the problem of automatic detection and prediction of abnormal human behaviours in public spaces. For this propose a novel classifier, called N-ary trees, is presented. The classifier processes time series of attributes like the object position, velocity, perimeter and area, to infer the type of action performed. This innovative classifier can detect three types of events: normal; unusual; or abnormal events. In order to evaluate the performance of the N-ary trees classifier, we carry out a preliminary study with 180 synthetic tracks and one restricted area. The results revealed a great level of accuracy and that the proposed method can be used in surveillance systems.
publishDate 2006
dc.date.none.fl_str_mv 2006
2006-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/5558
url http://hdl.handle.net/1822/5558
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, 3, Setúbal, Portugal, 2006 – “ICINCO 2006 : proceedings”. [S.l.] : INSTICC Press, 2006. ISBN 978-972-8865-60-3.
978-972-8865-60-3
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv INSTICC Press
publisher.none.fl_str_mv INSTICC Press
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833595857314775040

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