Research into the methods and techniques used in simulating crowds is now reaching maturity, but until now there is no book that focuses on this important topic.
Prior approaches have been application-specific focusing on different aspects of collective behaviour and using different modelling techniques. Thalmann and Musse have identified two broader areas of crowd simulations, firstly focusing on the realism of behavioural aspects and secondly looking at how to achieve high quality visualisation.
The study of crowds is complex with issues such as collision avoidance problems relating to large numbers of individuals; motion planning, trajectories and so forth. Depending on the application of crowds, other requirements such as real-time simulations are needed to populate virtual environments in VR systems. In order to provide a tool to simulate behavioural aspects of a crowd, social conventions of inter-relationships are needed.
Crowd requirements and potential strategies are discussed in this book and topics covered include population modelling, virtual human animation and computer vision techniques that are focused on crowd control and crowd rendering.
There has been a growing interest in crowd simulation particularly in the commercial sector where it is used in security, defence, entertainment and the movie industry. This field is now reaching maturity and there is a need for a book that focuses closely on methods and techniques for crowd simulation, this book fills that gap. Prior approaches have been application-specific focusing on different aspects of collective behaviour and using different modelling techniques. Crowd requirements and potential strategies are discussed in the book and topics covered include population modelling, virtual human animation and computer vision techniques that are focused on crowd control and crowd rendering. The book identifies two broader areas of crowd simulations, firstly focusing on the realism of behavioural aspects and secondly looking at how to achieve high quality visualisation.
Daniel Thalmann
Animation Computer Vision Navigation Rendering Simulation modeling ontology robot robotics visualization