1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3PFGFL8 |
Repository | sid.inpe.br/sibgrapi/2017/08.19.21.10 |
Last Update | 2017:08.19.21.10.29 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2017/08.19.21.10.29 |
Metadata Last Update | 2022:06.14.00.08.50 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2017.36 |
Citation Key | FavarettoDihMusVilCos:2017:UsBiFi |
Title | Using Big Five Personality Model to Detect Cultural Aspects in Crowds |
Format | On-line |
Year | 2017 |
Access Date | 2024, Apr. 20 |
Number of Files | 1 |
Size | 3497 KiB |
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2. Context | |
Author | 1 Favaretto, Rodolfo Migon 2 Dihl, Leandro 3 Musse, Soraia Raupp 4 Vilanova, Felipe 5 Costa, Angelo Brandelli |
Affiliation | 1 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 |
Editor | Torchelsen, 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 Address | rodolfo.favaretto@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ, Brazil |
Date | 17-20 Oct. 2017 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2017-08-19 21:10:29 :: rodolfo.favaretto@gmail.com -> administrator :: 2022-06-14 00:08:50 :: administrator -> :: 2017 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | Cultural aspects Big Five personality Crowds Computer vision |
Abstract | The 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. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Using Big Five... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Using Big Five... |
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/3PFGFL8 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PFGFL8 |
Language | en |
Target File | PID4958091.pdf |
User Group | rodolfo.favaretto@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/3PKCC58 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2017/09.12.13.04 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 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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