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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PFMEB5
Repositorysid.inpe.br/sibgrapi/2017/08.21.00.14
Last Update2017:08.21.00.19.32 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/08.21.00.14.15
Metadata Last Update2022:06.14.00.08.52 (UTC) administrator
DOI10.1109/SIBGRAPI.2017.46
Citation KeyLucenaOlivVeloPere:2017:ImFaDe
TitleImproving Face Detection Performance by Skin Detection Post-Processing
FormatOn-line
Year2017
Access Date2024, May 01
Number of Files1
Size758 KiB
2. Context
Author1 Lucena, Oeslle
2 Oliveira, Ítalo de P.
3 Veloso, Luciana
4 Pereira, Eanes
Affiliation1 University of Campinas
2 Federal University of Campina Grande
3 Federal University of Campina Grande
4 Federal University of Campina Grande
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressoeslle.lucena@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2017-08-21 00:19:32 :: oeslle.lucena@gmail.com -> administrator :: 2017
2022-06-14 00:08:52 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsFace detection
Skin detection
Performance Improvement
Post-processing
AbstractFace detection is already incorporated in many biometrics and surveillance applications. Therefore, the reduction of false detections is a priority in those systems. However, face detection is still challenging. Many factors, such as pose variation and complex backgrounds, contribute to false detections. Besides, the fidelity of a true detection, measured by precision rate, is a concern in content-based information retrieval. Following those issues, combinations of methods are developed focusing on balancing the trade-off between hit-rate and miss-rate. In this paper, we present an approach that improves face detection based on a post-processing of skin features. Our method enhanced the performance of weak detectors using a straightforward and low complex skin percentage threshold constraint. Furthermore, we also present a statistical analysis comparing our approach and two face detectors, under two different conditions for skin detection training, using a robust dataset for testing. The experimental results showed a significant drop in the number of false positives, reducing in 53%, while the precision rate was elevated in almost 5% when the Viola-Jones approach was used as face detector.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Improving Face Detection...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Improving Face Detection...
doc Directory Contentaccess
source Directory Content
PID4958905(1).pdf 20/08/2017 21:14 761.6 KiB 
agreement Directory Content
agreement.html 20/08/2017 21:14 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PFMEB5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PFMEB5
Languageen
Target FileSIBGRAPI_paper(2).pdf
User Groupoeslle.lucena@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 9
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination 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 volume


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