Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3ME3L2P
Repositorysid.inpe.br/sibgrapi/2016/09.12.15.44
Last Update2016:09.12.15.44.56 (UTC) carol.gomes.vargas@gmail.com
Metadata Repositorysid.inpe.br/sibgrapi/2016/09.12.15.44.56
Metadata Last Update2022:05.18.22.21.10 (UTC) administrator
Citation KeyVargasPaesVasc:2016:EsSoRe
TitleUm Estudo sobre Redes Neurais Convolucionais e sua Aplicação em Detecção de Pedestres
FormatOn-line
Year2016
Access Date2024, May 03
Number of Files1
Size397 KiB
2. Context
Author1 Vargas, Ana Caroline Gomes
2 Paes, Aline
3 Vasconcelos, Cristina Nader
Affiliation1 UFF
2 UFF
3 UFF
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 Addresscarol.gomes.vargas@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 TypeUndergraduate Work
History (UTC)2016-09-12 15:44:56 :: carol.gomes.vargas@gmail.com -> administrator ::
2022-05-18 22:21:10 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsPedestrian Detection
Computer Vision
Machine Learning
CNN
SVM
HOG
Adaboost
Haar features
AbstractThis work addresses Deep Learning from the point of view of the Computer Vision area, drawing a parallel between the two areas, considering the pedestrian detection task. To achieve that, the experimental results of two classical Computer Vision approaches are compared to the results obtained from a Convolutional Neural Network, which is known for obtaining the state of the art to the problem of pedestrian detection.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Um Estudo sobre...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 12/09/2016 12:44 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3ME3L2P
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3ME3L2P
Languagept
Target Fileum-estudo-sobre.pdf
User Groupcarol.gomes.vargas@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 5
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


Close