Search Results for author: Soraia Raupp Musse

Found 5 papers, 0 papers with code

Detecting Personality and Emotion Traits in Crowds from Video Sequences

no code implementations27 Apr 2021 Rodolfo Migon Favaretto, Paulo Knob, Soraia Raupp Musse, Felipe Vilanova, Ângelo Brandelli Costa

This paper presents a methodology to detect personality and basic emotion characteristics of crowds in video sequences.

A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences

no code implementations18 Aug 2019 Rodolfo Migon Favaretto, Victor Araujo, Soraia Raupp Musse, Felipe Vilanova, Angelo Brandelli Costa

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.

Predicting Future Pedestrian Motion in Video Sequences using Crowd Simulation

no code implementations10 Apr 2019 Cliceres dal Bianco, Soraia Raupp Musse

Our method is based on Physics and heuristics and use BioCrowds as crowd simulation methodology to estimate future positions of people in video sequences.

Motion Estimation

Using Big Five Personality Model to Detect Cultural Aspects in Crowds

no code implementations5 Mar 2019 Rodolfo Migon Favaretto, Leandro Dihl, Soraia Raupp Musse, Felipe Vilanova, Angelo Brandelli Costa

The use of information technology in the study of human behavior is a subject of great scientific interest.

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