Using Big Five Personality Model to Detect Cultural Aspects in Crowds
This work addresses cultural analysis in crowds for researchers in social sciences or computer vision, but it is incremental as it applies an existing model to a new application.
The paper tackled the problem of detecting cultural characteristics in crowds from video sequences by using the Big Five personality model to analyze pedestrian behavior, and found that the model generated coherent information compared to existing literature data.
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.