This paper presents a methodology to detect personality and basic emotion characteristics of crowds in video sequences.
This paper presents a video analysis application to detect personality, emotion and cultural aspects from pedestrians in video sequences, along with a visualizer of features.
This work aims to evaluate people's perception regarding geometric features, personalities and emotions characteristics in virtual humans.
Our method is based on Physics and heuristics and use BioCrowds as crowd simulation methodology to estimate future positions of people in video sequences.
The use of information technology in the study of human behavior is a subject of great scientific interest.