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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3JRJS95
Repositorysid.inpe.br/sibgrapi/2015/07.13.13.26
Last Update2015:07.13.13.26.54 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2015/07.13.13.26.54
Metadata Last Update2022:05.18.22.20.58 (UTC) administrator
Citation KeyAlmeidaVida:2015:ClNãEv
TitleClassificação não-supervisionada de eventos em imagens de videomonitoramento baseada em altas frequências do fluxo ótico diferencial
FormatOn-line
Year2015
Access Date2024, Apr. 28
Number of Files1
Size7321 KiB
2. Context
Author1 Almeida, Ana Paula Gonçalves S. de
2 Vidal, Flavio de Barros
Affiliation1 Programa de Pós-Graduação em Sistemas Mecatrônicos - Universidade de Brasília
2 Departamento de Ciência da Computação - Universidade de Brasilia
EditorRios, Ricardo Araujo
Paiva, Afonso
e-Mail Addressfbvidal@unb.br
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador, BA, Brazil
Date26-29 Aug. 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeWork in Progress
History (UTC)2015-07-13 13:26:54 :: fbvidal@unb.br -> administrator ::
2022-05-18 22:20:58 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsevent classification
motion analysis
optical flow
AbstractEvents related to vandalism and violence often occur in crowded environments and mostly in unstructured environments (dynamic). The use of security cameras in crowd monitoring analysis for anomaly detection and alarms could be an efficient and inexpensive method. The goal of this paper is to build an unsupervised classification method to abnormal events that is robust and stable. The main idea is based on analysis of Fourier Transform's high-frequency spatial components features of optical flow, allowing the detection of abnormal acts in surveillance videos. Preliminary results show that the proposed methodology is capable of successfully execute the process of detection, permitting the development of an efficient recognition stage for future works.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2015 > Classificação não-supervisionada de...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JRJS95
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JRJS95
Languagept
Target Filesibgrapi-cameraready.pdf
User Groupadministrator
fbvidal@unb.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Citing Item Listsid.inpe.br/sibgrapi/2015/08.03.22.49 7
sid.inpe.br/banon/2001/03.30.15.38.24 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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