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The OBSERVER: an intelligent and automated video surveillance system

Detalhes bibliográficos
Autor(a) principal: Duque, Duarte
Data de Publicação: 2006
Outros Autores: Santos, Henrique Dinis dos, Cortez, Paulo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/1822/5602
Resumo: In this work we present a new approach to learn, detect and predict unusual and abnormal behaviors of people, groups and vehicles in real-time. The proposed OBSERVER video surveillance system acquires images from a stationary color video camera and applies state-of-the-art algorithms to segment and track moving objects. The segmentation is based in a background subtraction algorithm with cast shadows, highlights and ghost’s detection and removal. To robustly track objects in the scene, a technique based on appearance models was used. The OBSERVER is capable of identifying three types of behaviors (normal, unusual and abnormal actions). This achievement was possible due to the novel N-ary tree classifier, which was successfully tested on synthetic data.
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spelling The OBSERVER: an intelligent and automated video surveillance systemMotion detectionImage segmentationTrackingBehaviour analysismoving object detectionbehavior detectionScience & TechnologyIn this work we present a new approach to learn, detect and predict unusual and abnormal behaviors of people, groups and vehicles in real-time. The proposed OBSERVER video surveillance system acquires images from a stationary color video camera and applies state-of-the-art algorithms to segment and track moving objects. The segmentation is based in a background subtraction algorithm with cast shadows, highlights and ghost’s detection and removal. To robustly track objects in the scene, a technique based on appearance models was used. The OBSERVER is capable of identifying three types of behaviors (normal, unusual and abnormal actions). This achievement was possible due to the novel N-ary tree classifier, which was successfully tested on synthetic data.Fundação para a Ciência e a Tecnologia (FCT).SpringerUniversidade do MinhoDuque, DuarteSantos, Henrique Dinis dosCortez, Paulo2006-09-222006-09-22T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/5602engDuque, D., Santos, H., Cortez, P. (2006). The OBSERVER: An Intelligent and Automated Video Surveillance System. In: Campilho, A., Kamel, M.S. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867586_81978-3-540-44891-40302-974310.1007/11867586_81978-3-540-44893-8https://link.springer.com/chapter/10.1007/11867586_81info: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:RCAAP2024-07-27T01:23:34Zoai:repositorium.sdum.uminho.pt:1822/5602Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:16:16.340606Repositórios 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 The OBSERVER: an intelligent and automated video surveillance system
title The OBSERVER: an intelligent and automated video surveillance system
spellingShingle The OBSERVER: an intelligent and automated video surveillance system
Duque, Duarte
Motion detection
Image segmentation
Tracking
Behaviour analysis
moving object detection
behavior detection
Science & Technology
title_short The OBSERVER: an intelligent and automated video surveillance system
title_full The OBSERVER: an intelligent and automated video surveillance system
title_fullStr The OBSERVER: an intelligent and automated video surveillance system
title_full_unstemmed The OBSERVER: an intelligent and automated video surveillance system
title_sort The OBSERVER: an intelligent and automated video surveillance system
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 Motion detection
Image segmentation
Tracking
Behaviour analysis
moving object detection
behavior detection
Science & Technology
topic Motion detection
Image segmentation
Tracking
Behaviour analysis
moving object detection
behavior detection
Science & Technology
description In this work we present a new approach to learn, detect and predict unusual and abnormal behaviors of people, groups and vehicles in real-time. The proposed OBSERVER video surveillance system acquires images from a stationary color video camera and applies state-of-the-art algorithms to segment and track moving objects. The segmentation is based in a background subtraction algorithm with cast shadows, highlights and ghost’s detection and removal. To robustly track objects in the scene, a technique based on appearance models was used. The OBSERVER is capable of identifying three types of behaviors (normal, unusual and abnormal actions). This achievement was possible due to the novel N-ary tree classifier, which was successfully tested on synthetic data.
publishDate 2006
dc.date.none.fl_str_mv 2006-09-22
2006-09-22T00:00:00Z
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 https://hdl.handle.net/1822/5602
url https://hdl.handle.net/1822/5602
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Duque, D., Santos, H., Cortez, P. (2006). The OBSERVER: An Intelligent and Automated Video Surveillance System. In: Campilho, A., Kamel, M.S. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867586_81
978-3-540-44891-4
0302-9743
10.1007/11867586_81
978-3-540-44893-8
https://link.springer.com/chapter/10.1007/11867586_81
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 Springer
publisher.none.fl_str_mv Springer
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
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