Close
Metadata

Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3JRJS95
Repositorysid.inpe.br/sibgrapi/2015/07.13.13.26
Last Update2015:07.13.13.26.54 (UTC) administrator
Metadatasid.inpe.br/sibgrapi/2015/07.13.13.26.54
Metadata Last Update2016:06.03.21.18.36 (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 Date2021, Dec. 03
Number of Files1
Size7321 KiB
Context area
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
DateAug. 26-29, 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 ::
2016-06-03 21:18:36 :: administrator -> :: 2015
Content and structure area
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 > SIBGRAPI 2015 > Classificação não-supervisionada de...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 13/07/2015 10:26 1.1 KiB 
Conditions of access and use area
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
Allied materials area
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Notes area
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

Close