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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3MC8UGL
Repositorysid.inpe.br/sibgrapi/2016/09.01.13.33
Last Update2016:09.01.13.33.39 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/09.01.13.33.39
Metadata Last Update2022:05.18.22.21.09 (UTC) administrator
Citation KeyBorgesAndrMotaBati:2016:SeAuSu
TitleSearch and Automatic Summarization of Relevant Features in Forensic Scenarios
FormatOn-line
Year2016
Access Date2024, Apr. 28
Number of Files1
Size1201 KiB
2. Context
Author1 Borges, Erick Vagner Cabral de Lima
2 Andrezza, Igor Lucena Peixoto
3 Mota, Rajiv Albino Torreão
4 Batista, Leonardo Vidal
Affiliation1 Vsoft
2 Vsoft
3 Vsoft
4 UFPB
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addresserickvagnerr@gmail.com
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeIndustry Application Paper
History (UTC)2016-09-01 13:33:39 :: erickvagnerr@gmail.com -> administrator ::
2022-05-18 22:21:09 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsForensic Computing
Video Summarization
Computer Vision
AbstractMethods and tools that perform the analysis and the automatic monitoring of environments are increasingly needed due the growing presence of video recording devices. This work aims to extract some relevant features of forensic scenes, performing summarization only in the relevant data. The proposed methods aim to detect and analyze motion, face detection and recognition, perform the tracking of human faces and recognition of predominant color in the clothing of individuals. The results are comparable to the ones found in the literature and may contribute to the fast extraction of information needed for human analysis, to assist in the interpretation and documenting the results.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Search and Automatic...
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/8JMKD3MGPAW/3MC8UGL
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3MC8UGL
Languageen
Target Filepaper-id2.pdf
User Grouperickvagnerr@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 4
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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