@InProceedings{FavarettoDihMusVilCos:2017:UsBiFi,
author = "Favaretto, Rodolfo Migon and Dihl, Leandro and Musse, Soraia Raupp
and Vilanova, Felipe and Costa, Angelo Brandelli",
affiliation = "Pontifical Catholic University of Rio Grande do Sul, Graduate
Studies on Computer Science and Pontifical Catholic University of
Rio Grande do Sul, Graduate Studies on Computer Science and
Pontifical Catholic University of Rio Grande do Sul, Graduate
Studies on Computer Science and Pontifical Catholic University of
Rio Grande do Sul, Graduate Studies on Psychology and Pontifical
Catholic University of Rio Grande do Sul, Graduate Studies on
Psychology",
title = "Using Big Five Personality Model to Detect Cultural Aspects in
Crowds",
booktitle = "Proceedings...",
year = "2017",
editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and
Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and
Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba,
Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo
and Vital, Creto and Pagot, Christian Azambuja and Petronetto,
Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
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.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
doi = "10.1109/SIBGRAPI.2017.36",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2017.36",
language = "en",
ibi = "8JMKD3MGPAW/3PFGFL8",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PFGFL8",
targetfile = "PID4958091.pdf",
urlaccessdate = "2024, Apr. 28"
}