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Towards a Legion of Virtual Humans: Steering Behaviors and Organic Visualization

Many studies have been done to control virtual humans and crowds. Navigation, split, merge, and collision avoidance are examples of what has been done in such areas when simulating crowds of individuals. This paper explores the macroscopic crowds’ concept and seeks to solve two main issues: macroscopic crowd control and visualization. In particular, we are interested in providing steering behaviors applied to macroscopic models of crowds, in this case, called Legions of people, which are an abstraction for a vast amount of people. To provide the steering behaviors, we propose a multi-level control of such structures that can represent less or more people, in an emergent way. We also propose a new organic visualization of macroscopic and huge crowds based on blobby models.