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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3K2MKA8
Repositorysid.inpe.br/sibgrapi/2015/08.07.18.55
Last Update2015:08.07.18.55.51 (UTC) antonio.nazare@dcc.ufmg.br
Metadata Repositorysid.inpe.br/sibgrapi/2015/08.07.18.55.51
Metadata Last Update2022:05.18.22.21.02 (UTC) administrator
Citation KeyNazaréJrFerrSchw:2015:ScVeFr
TitleA Scalable and Versatile Framework for Smart Video Surveillance
FormatOn-line
Year2015
Access Date2024, May 02
Secondary TypeMaster's Work
Number of Files1
Size961 KiB
2. Context
Author1 Nazaré Jr., Antonio Carlos
2 Ferreira, Renato Antonio Celso
3 Schwartz, William Robson
Affiliation1 Universidade Federal de Minas Gerais
2 Universidade Federal de Minas Gerais
3 Universidade Federal de Minas Gerais
EditorSegundo, Maurício Pamplona
Faria, Fabio Augusto
e-Mail Addressantonio.nazare@dcc.ufmg.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 TypeMaster's or Doctoral Work
History (UTC)2015-08-07 18:55:51 :: antonio.nazare@dcc.ufmg.br -> administrator ::
2022-05-18 22:21:02 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsSmart~Surveillance~Framework
Surveillance Systems
Computer Vision
Video Analysis
Video Surveillance
AbstractThe large amount of visual data generated by surveillance cameras is usually analyzed manually, a challenging task which is labor intensive and prone to errors. Therefore, automatic approaches must be employed to enable the proper processing of the visual data. The main goal of automated surveillance systems is to analyze the scene focusing on the detection and recognition of suspicious activities. However, these systems are rarely tackled in a scalable manner. With that in mind, this Masters thesis proposed a framework for scalable video analysis called Smart Surveillance Framework (SSF) to allow researchers to implement their solutions to the surveillance problems as a sequence of processing modules that communicate through a shared memory. The framework provides useful features to the researchers, such as memory management to allow handling large amounts of data, communication control among execution modules, predefined data structures specifically designed for the surveillance environment and management of multiple data input. Our experimental results evaluate important aspects of the Smart Surveillance Framework (SSF) and demonstrate the scalability of the framework, the lower overhead caused by the communication between the modules and the shared memory and the high performance of our feature extraction mechanism.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2015 > A Scalable and...
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source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3K2MKA8
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3K2MKA8
Languageen
Target Filearticle.pdf
User Groupantonio.nazare@dcc.ufmg.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 8
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 serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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