1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3ME3L2P |
Repository | sid.inpe.br/sibgrapi/2016/09.12.15.44 |
Last Update | 2016:09.12.15.44.56 (UTC) carol.gomes.vargas@gmail.com |
Metadata Repository | sid.inpe.br/sibgrapi/2016/09.12.15.44.56 |
Metadata Last Update | 2022:05.18.22.21.10 (UTC) administrator |
Citation Key | VargasPaesVasc:2016:EsSoRe |
Title | Um Estudo sobre Redes Neurais Convolucionais e sua Aplicação em Detecção de Pedestres |
Format | On-line |
Year | 2016 |
Access Date | 2024, May 03 |
Number of Files | 1 |
Size | 397 KiB |
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2. Context | |
Author | 1 Vargas, Ana Caroline Gomes 2 Paes, Aline 3 Vasconcelos, Cristina Nader |
Affiliation | 1 UFF 2 UFF 3 UFF |
Editor | Aliaga, 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 Address | carol.gomes.vargas@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 29 (SIBGRAPI) |
Conference Location | São José dos Campos, SP, Brazil |
Date | 4-7 Oct. 2016 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Undergraduate Work |
History (UTC) | 2016-09-12 15:44:56 :: carol.gomes.vargas@gmail.com -> administrator :: 2022-05-18 22:21:10 :: administrator -> :: 2016 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | Pedestrian Detection Computer Vision Machine Learning CNN SVM HOG Adaboost Haar features |
Abstract | This 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. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2016 > Um Estudo sobre... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3ME3L2P |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3ME3L2P |
Language | pt |
Target File | um-estudo-sobre.pdf |
User Group | carol.gomes.vargas@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3M2D4LP |
Citing Item List | sid.inpe.br/sibgrapi/2016/07.02.23.50 5 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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