Utilizando visão computacional para simular comportamentos de multidão de humanos virtuais

AUTOR(ES)
DATA DE PUBLICAÇÃO

2006

RESUMO

This study presents a model to extract information from the real world using computer vision techniques. In particular, we use tracking algorithms to extract the trajectories of filmed people, aiming to simulate and validate the behavior of virtual human crowds.A great challenge when trying to reproduce in a realistic manner (by means of simulation) the behavior of a crowd in a determined space is to inform to the simulation model all necessary attributes to describe the movement of virtual people. Individual and general features of people can produce a great variety of behaviors, making its modeling complex. Furthermore, the space also contains restrictions that can interfere on people behavior. In this study it is proposed a model in which people from the real world have their trajectories captured in an automatic manner. In a post-processing step, captured trajectories are used to generate velocity fields that will be used to help in the calculation of virtual human movement, providing more realistic simulations. It is also being proposed a tool for qualitative comparison between two groups of trajectories (Spatial Occupation Maps), with the purpose of validating simulation results with data captured from real life. According to results obtained until this moment, it can be assumed that the model presents acceptable results. It is expected that the proposed model can contribute to the improvement of behavioral realism in simulations of virtual human crowds

ASSUNTO(S)

ciencia da computacao modelagem, animação comportamental background subtraction crowd simulation object tracking simulação de multidão acompanhamento de objetos

ACESSO AO ARTIGO

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