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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPAW/3PFGFL8
Repositorysid.inpe.br/sibgrapi/2017/08.19.21.10
Last Update2017:08.19.21.10.29 administrator
Metadatasid.inpe.br/sibgrapi/2017/08.19.21.10.29
Metadata Last Update2020:02.19.02.01.26 administrator
Citation KeyFavarettoDihMusVilCos:2017:UsBiFi
TitleUsing Big Five Personality Model to Detect Cultural Aspects in Crowds
FormatOn-line
Year2017
DateOct. 17-20, 2017
Access Date2021, Jan. 21
Number of Files1
Size3497 KiB
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Author1 Favaretto, Rodolfo Migon
2 Dihl, Leandro
3 Musse, Soraia Raupp
4 Vilanova, Felipe
5 Costa, Angelo Brandelli
Affiliation1 Pontifical Catholic University of Rio Grande do Sul, Graduate Studies on Computer Science
2 Pontifical Catholic University of Rio Grande do Sul, Graduate Studies on Computer Science
3 Pontifical Catholic University of Rio Grande do Sul, Graduate Studies on Computer Science
4 Pontifical Catholic University of Rio Grande do Sul, Graduate Studies on Psychology
5 Pontifical Catholic University of Rio Grande do Sul, Graduate Studies on Psychology
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 Addressrodolfo.favaretto@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2017-08-19 21:10:29 :: rodolfo.favaretto@gmail.com -> administrator ::
2020-02-19 02:01:26 :: administrator -> :: 2017
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsCultural aspects, Big Five personality, Crowds, Computer vision.
AbstractThe use of information technology in the study of human behavior is a subject of great scientific interest. Cultural and personality aspects are factors that influence how people interact with one another in a crowd. This paper presents a methodology to detect cultural characteristics of crowds in video sequences. Based on filmed sequences, pedestrians are detected, tracked and characterized. Such information is then used to find out cultural differences in those videos, based on the Big-five personality model. Regarding cultural differences of each country, results indicate that this model generates coherent information when compared to data provided in literature.
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data URLhttp://urlib.net/rep/8JMKD3MGPAW/3PFGFL8
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PFGFL8
Languageen
Target FilePID4958091.pdf
User Grouprodolfo.favaretto@gmail.com
Visibilityshown
Update Permissionnot transferred
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PJT9LS
8JMKD3MGPAW/3PKCC58
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

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