V
Vinicius J. Cassol
Researcher at Pontifícia Universidade Católica do Rio Grande do Sul
Publications - 15
Citations - 171
Vinicius J. Cassol is an academic researcher from Pontifícia Universidade Católica do Rio Grande do Sul. The author has contributed to research in topics: Crowds & Crowd simulation. The author has an hindex of 6, co-authored 15 publications receiving 151 citations. Previous affiliations of Vinicius J. Cassol include Universidade do Vale do Rio dos Sinos.
Papers
More filters
Proceedings ArticleDOI
Evaluating perceived trust from procedurally animated gaze
Aline Normoyle,Jeremy B. Badler,Teresa Fan,Norman I. Badler,Vinicius J. Cassol,Soraia Raupp Musse +5 more
TL;DR: It is found that viewers can distinguish between high and low trust animations, that viewers associate the gaze differences specifically with trust and not with an unrelated attitude (aggression), and that the effect can hold for different facial expressions and scene contexts, even when viewed by participants for a short clip length.
Journal ArticleDOI
Evaluating and Optimizing Evacuation Plans for Crowd Egress
Vinicius J. Cassol,Estevão Testa,Claudio Rosito Jung,Muhammad Usman,Petros Faloutsos,Glen Berseth,Mubbasir Kapadia,Norman I. Badler,Soraia Raupp Musse +8 more
TL;DR: The proposed framework can identify optimal evacuation plans using decision points, which control the ratio of agents that select a particular route at a specific spatial location based on a quantitatively validated metric for evacuation performance.
Journal ArticleDOI
Towards a quantitative approach for comparing crowds
TL;DR: A new model to quantitatively compare global flow characteristics of two crowds is proposed that contains information on the local velocity of each spatial position, and the comparison is made using histogram distances.
Journal ArticleDOI
Detection of Global and Local Motion Changes in Human Crowds
Igor Rodrigues de Almeida,Vinicius J. Cassol,Norman I. Badler,Soraia Raupp Musse,Claudio Rosito Jung +4 more
TL;DR: A computer vision method is proposed to identify motion pattern changes in human crowds that can be related to an unusual event, and can identify global changes, by evaluating 2D motion histograms in time, and also local effects, by identifying clusters that present similar spatial locations and velocity vectors.
Book ChapterDOI
From their environment to their behavior: a procedural approach to model groups of virtual agents
Rafael Hocevar,Fernando Marson,Vinicius J. Cassol,Henry Braun,Rafael Bidarra,Soraia Raupp Musse +5 more
TL;DR: This work presents a model to simulate coherent group behaviors based on procedural modeling and semantic environments, present in the background of games or movies generated with few/without user intervention.