# Using Big Five Personality Model to Detect Cultural Aspects in Crowds

## TL;DR

This paper introduces a method to identify cultural differences in crowds using video analysis and the Big Five personality model, providing a new approach to studying cultural behaviors through visual data.

## Contribution

It presents a novel methodology combining pedestrian tracking with personality modeling to detect cultural aspects in crowd videos.

## Key findings

- The model effectively reflects cultural differences consistent with existing literature.
- The approach successfully characterizes crowd behavior based on personality traits.
- Results demonstrate the potential of video-based personality analysis for cultural studies.

## 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.