no code implementations • 11 Dec 2023 • Matheus Schreiner Homrich da Silva, Paulo Brossard de Souza Pinto Neto, Rodolfo Migon Favaretto, Soraia Raupp Musse
We hypothesize that the detection of events in videos is correlated with significant changes in pedestrian behaviors.
no code implementations • 4 Dec 2023 • Vitor Miguel Xavier Peres, Greice Pinho Dal Molin, Soraia Raupp Musse
We intend to find differences and similarities in facial expressions between real and CG datasets, posed and spontaneous faces, and also to consider the actors' genders in the videos.
no code implementations • 13 Apr 2022 • Camila Kolling, Victor Araujo, Adriano Veloso, Soraia Raupp Musse
Hence, in this work, we introduce a novel learning method that combines both subjective human-based labels and objective annotations based on mathematical definitions of facial traits.
no code implementations • 27 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.
no code implementations • 18 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.
no code implementations • 24 Apr 2019 • Victor Araujo, Rodolfo Migon Favaretto, Paulo Knob, Soraia Raupp Musse, Felipe Vilanova, Angelo Brandelli Costa
This work aims to evaluate people's perception regarding geometric features, personalities and emotions characteristics in virtual humans.
no code implementations • 10 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.
no code implementations • 5 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.