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Issue No.04 - July/August (2009 vol.29)
pp: 17-18
Published by the IEEE Computer Society
Norman I. Badler , University of Pennsylvania
Carol O'Sullivan , Trinity College Dublin
ABSTRACT
Only in the ruins of post-apocalyptic cities would the absence of living entities be appropriate, whereas real environments are filled with characters, whether they're alone, in groups, or congregating in large crowds. Therefore, the simulation of populated environments is one of the most active and expanding areas of computer graphics research today. There are two main reasons for this. First, owing to the problem space's complexity, many research challenges remain to be solved. Second, a huge demand exists in many application domains (for example, games, movies, and architectural design) for convincing and scalable populace. Virtual populace is an extension of crowd-modeling research in computer graphics that encompasses activity selection, graphics portrayal, implementation architectures, and perceptual features. This special issue features articles addressing these and related issues.
Computer graphics' success in creating realistic animated characters has led to a recent upsurge of interest in creating a multiplicity of such human figures engaged in group activities. This expansion of graphical capabilities leads to a wide range of issues: low-level graphical performance and throughput, individual behavior specification and generation, collision avoidance and interaction response, 3D environmental interactions, and overall scenario scripting. The number of papers in the literature relevant to these areas is increasing rapidly; we conceived this special issue as a way to recognize that modeling collective activities has become the central focus for many computer graphics research groups.
We further realized that calling this enterprise "crowd modeling" wouldn't adequately reflect the necessary scope of the expected contributors. So, we adopted the term "virtual populace."
In This Issue
We're pleased to present five papers representing an excellent cross-section of current research and applications in this exciting area. In "Brain Springs: Fast Physics for Large Crowds in WALL•E," Paul Kanyuk provides a behind-the-scenes glimpse of how Pixar simulated crowds of robot and human characters in the animated film. They simulated character physics in a realistic, interactive way, through clever and novel use of Massive, an agent-based crowd system.
Simulating massive crowds in real time necessitates fully exploiting new hardware architectures, as Erdal Yilmaz and his colleagues demonstrate in "The Virtual Marathon: Parallel Computing Supports Crowd Simulations." They explain how they used Nvidia's CUDA (originally Compute Unified Device Architecture) to accelerate the simulation of millions of virtual marathoners, using fuzzy logic.
Sébastien Paris and Stéphane Donikian discuss simulation of more complex human behaviors such as queuing, sourcing information, or making purchases in "Activity-Driven Populace: A Cognitive Approach to Crowd Simulation." In their system, each agent's movements and actions are driven by high-level goals and objectives, which are realized using multilayer cognitive decision-making.
In "YaQ: An Architecture for Real-Time Navigation and Rendering of Varied Crowds," Jonathan Maïm and his colleagues describe a complete system for rendering, animation, and behavioral simulation of large crowds. They also give a good overview of the main components such systems must implement.
Finally, Christopher Peters and Cathy Ennis highlight an important question: How do we ensure that simulations of virtual populace meet a viewer's expectations of how people actually behave? In "Modeling Groups of Plausible Virtual Pedestrians," they present a methodology that uses information extracted from video and a set of perceptual experiments to determine what's most important when simulating small groups of people in a crowded area.
We hope these articles convey some of the scope and excitement of animating a virtual populace. This area challenges us to explore novel agent architectures as well as graphical optimizations and perceptual evaluation. In our own recent research, we've explored some of these challenges, such as higher-level control aspects of functional groups and individuals 1 and exploiting perceptual knowledge to enhance the animation of richly varied crowds of people. 2
Although this overview isn't at all a survey, it would be an oversight not to acknowledge Craig Reynolds' seminal work on flocks and herds. 3 A more recent resource for the interested reader is Daniel Thalmann and Soraia Raupp Musse's book Crowd Simulation. 4
Computer animation's future appears integrally tied to the specification and production of large-scale groups with coordinated, meaningful behaviors. We hope the articles in this special issue help point the way.

References

Norman I. Badler is a professor of computer and information science at the University of Pennsylvania. He also directs the university's SIG (Susquehanna International Group) Center for Computer Graphics, which includes the Center for Human Modeling and Simulation. His research interests include animation by simulation, embodied-agent software, human-computer interfaces, and computational connections between language and action. Badler has a PhD in computer science from the University of Toronto. He's coeditor of Graphical Models, and he cochaired the 2004 Symposium on Computer Animation. Contact him at badler@seas.upenn.edu.
Carol O'Sullivan is an associate professor at Trinity College Dublin. Her research interests include perception, animation, virtual humans, and crowds. O'Sullivan has a PhD in computer graphics from Trinity College Dublin. She's the program cochair of the 2009 Siggraph Symposium on Applied Perception in Graphics and Visualization, co-editor in chief of ACM Transactions on Applied Perception, and an editorial board member of IEEE Computer Graphics and Applications. Contact her at carol.osullivan@cs.tcd.ie.
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