Detection violent behaviors: A survey

doi:10.1007/978-3-030-58356-9_11

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/69266

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Campo DC	Valor	Idioma
dc.contributor.author	Durães, Dalila	por
dc.contributor.author	Marcondes, Francisco Supino	por
dc.contributor.author	Gonçalves, Filipe Manuel	por
dc.contributor.author	Fonseca, Joaquim	por
dc.contributor.author	Machado, José Manuel	por
dc.contributor.author	Novais, Paulo	por
dc.date.accessioned	2021-01-15T10:22:36Z	-
dc.date.available	2021-01-15T10:22:36Z	-
dc.date.issued	2021	-
dc.identifier.citation	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	por
dc.identifier.isbn	9783030583552	por
dc.identifier.issn	2194-5357	por
dc.identifier.uri	https://hdl.handle.net/1822/69266	-
dc.description.abstract	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.	por
dc.description.sponsorship	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/04728/2020	por
dc.language.iso	eng	por
dc.publisher	Springer	por
dc.relation	info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04728%2F2020/PT	-
dc.rights	openAccess	por
dc.subject	Action recognition	por
dc.subject	Audio surveillance	por
dc.subject	Multimodal surveillance	por
dc.subject	Video surveillance	por
dc.subject	Violence detection	por
dc.title	Detection violent behaviors: A survey	por
dc.type	conferencePaper	por
dc.peerreviewed	yes	por
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007/978-3-030-58356-9_11	por
oaire.citationStartPage	106	por
oaire.citationEndPage	116	por
oaire.citationConferencePlace	L´Aquila, Italy	por
oaire.citationVolume	1239 AISC	por
dc.date.updated	2020-12-30T23:46:06Z	-
dc.identifier.eissn	2194-5357	-
dc.identifier.doi	10.1007/978-3-030-58356-9_11	por
dc.subject.fos	Ciências Naturais::Ciências da Computação e da Informação	por
sdum.export.identifier	7700	-
sdum.journal	Advances in Intelligent Systems and Computing	por
sdum.conferencePublication	International Symposium on Ambient Intelligence (ISAmI 2020)	por
sdum.bookTitle	Ambient Intelligence – Software and Applications - 11th International Symposium on Ambient Intelligence	por
Aparece nas coleções:	CAlg - Artigos em livros de atas/Papers in proceedings

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