Detection violent behaviors: A survey

Detalhes bibliográficos
Autor(a) principal: Durães, Dalila
Data de Publicação: 2021
Outros Autores: Marcondes, Francisco Supino, Gonçalves, Filipe Manuel, Fonseca, Joaquim, Machado, José Manuel, Novais, Paulo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/69266
Resumo: Violence detection behavior is a particular problem regarding the great problem action recognition. In recent years, the detection and recognition of violence has been studied for several applications, namely in surveillance. In this paper, we conducted a recent systematic review of the literature on this subject, covering a selection of various researched papers. The selected works were classified into three main approaches for violence detection: video, audio, and multimodal audio and video. Our analysis provides a roadmap to guide future research to design automatic violence detection systems. Techniques related to the extraction and description of resources to represent behavior are also reviewed. Classification methods and structures for behavior modelling are also provided.
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spelling Detection violent behaviors: A surveyAction recognitionAudio surveillanceMultimodal surveillanceVideo surveillanceViolence detectionCiências Naturais::Ciências da Computação e da InformaçãoViolence detection behavior is a particular problem regarding the great problem action recognition. In recent years, the detection and recognition of violence has been studied for several applications, namely in surveillance. In this paper, we conducted a recent systematic review of the literature on this subject, covering a selection of various researched papers. The selected works were classified into three main approaches for violence detection: video, audio, and multimodal audio and video. Our analysis provides a roadmap to guide future research to design automatic violence detection systems. Techniques related to the extraction and description of resources to represent behavior are also reviewed. Classification methods and structures for behavior modelling are also provided.European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project n ∘ 039334; Funding Reference: POCI-01-0247-FEDER-039334]. This work has been supported by national funds through FCT – Fundação para a Ciência e Tecnologia through project UIDB/04728/2020SpringerUniversidade do MinhoDurães, DalilaMarcondes, Francisco SupinoGonçalves, Filipe ManuelFonseca, JoaquimMachado, José ManuelNovais, Paulo20212021-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/69266engDurães, D., Marcondes, F. S., Gonçalves, F., Fonseca, J., et. al.(2021). Detection Violent Behaviors: A Survey. In International Symposium on Ambient Intelligence (pp. 106-116). Springer97830305835522194-53572194-535710.1007/978-3-030-58356-9_11https://link.springer.com/chapter/10.1007/978-3-030-58356-9_11info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-11T05:43:45Zoai:repositorium.sdum.uminho.pt:1822/69266Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T05:43:45Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Detection violent behaviors: A survey
title Detection violent behaviors: A survey
spellingShingle Detection violent behaviors: A survey
Durães, Dalila
Action recognition
Audio surveillance
Multimodal surveillance
Video surveillance
Violence detection
Ciências Naturais::Ciências da Computação e da Informação
title_short Detection violent behaviors: A survey
title_full Detection violent behaviors: A survey
title_fullStr Detection violent behaviors: A survey
title_full_unstemmed Detection violent behaviors: A survey
title_sort Detection violent behaviors: A survey
author Durães, Dalila
author_facet Durães, Dalila
Marcondes, Francisco Supino
Gonçalves, Filipe Manuel
Fonseca, Joaquim
Machado, José Manuel
Novais, Paulo
author_role author
author2 Marcondes, Francisco Supino
Gonçalves, Filipe Manuel
Fonseca, Joaquim
Machado, José Manuel
Novais, Paulo
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Durães, Dalila
Marcondes, Francisco Supino
Gonçalves, Filipe Manuel
Fonseca, Joaquim
Machado, José Manuel
Novais, Paulo
dc.subject.por.fl_str_mv Action recognition
Audio surveillance
Multimodal surveillance
Video surveillance
Violence detection
Ciências Naturais::Ciências da Computação e da Informação
topic Action recognition
Audio surveillance
Multimodal surveillance
Video surveillance
Violence detection
Ciências Naturais::Ciências da Computação e da Informação
description Violence detection behavior is a particular problem regarding the great problem action recognition. In recent years, the detection and recognition of violence has been studied for several applications, namely in surveillance. In this paper, we conducted a recent systematic review of the literature on this subject, covering a selection of various researched papers. The selected works were classified into three main approaches for violence detection: video, audio, and multimodal audio and video. Our analysis provides a roadmap to guide future research to design automatic violence detection systems. Techniques related to the extraction and description of resources to represent behavior are also reviewed. Classification methods and structures for behavior modelling are also provided.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
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 https://hdl.handle.net/1822/69266
url https://hdl.handle.net/1822/69266
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Durães, D., Marcondes, F. S., Gonçalves, F., Fonseca, J., et. al.(2021). Detection Violent Behaviors: A Survey. In International Symposium on Ambient Intelligence (pp. 106-116). Springer
9783030583552
2194-5357
2194-5357
10.1007/978-3-030-58356-9_11
https://link.springer.com/chapter/10.1007/978-3-030-58356-9_11
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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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