  This paper presents a methodology to detect personality and basic emotion
characteristics of crowds in video sequences. Firstly, individuals are detected
and tracked, then groups are recognized and characterized. Such information is
then mapped to OCEAN dimensions, used to find out personality and emotion in
videos, based on OCC emotion models. Although it is a clear challenge to
validate our results with real life experiments, we evaluate our method with
the available literature information regarding OCEAN values of different
Countries and also emergent Personal distance among people. Hence, such
analysis refer to cultural differences of each country too. Our results
indicate that this model generates coherent information when compared to data
provided in available literature, as shown in qualitative and quantitative
results.
