Using group behaviors to detect Hofstede cultural dimensions
Rodolfo Migon Favaretto, Leandro Dihl, Rodrigo Barreto, Soraia Raupp Musse · 2016
This paper presents a methodology to characterize information about groups of people with the main goal of detecting cultural aspects. Based on tracked pedestrians, groups are detected and characterized. Group information is then used to find out Cultural aspects in videos, based on the Hofstede cultural dimensions theory. The presented work was tested in videos of pedestrian groups recorded in different countries and results seem promising in order to identify cultural aspects in the filmed sequences.