Utilizando visão computacional para simular comportamentos de multidão de humanos virtuais

Abstract

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 s