Modeling, Simulation and Visual Analysis of Crowds: A Multidisciplinary Perspective.- On Force-based Modeling of Pedestrian Dynamics.- Connection between Microscopic and Macroscopic Models.- Analysis of Crowd Dynamics with Laboratory Experiments.- Modeling a Crowd of Groups: Multidisciplinary and Methodological Challenges.- Scalable Solutions for Simulating, Animating, and Rendering Real-Time Crowds of Diverse Virtual Humans.- Authoring Multi-Actor Behaviors in Crowds with Diverse Personalities.- Virtual Tawaf: A Velocity-space-based Solution for Simulating Heterogeneous Behavior in Dense Crowds.- Crowd Flow Segmentation using Lagrangian Particle Dynamics.- Modeling Crowd Flow for Video Analysis of Crowded Scenes.- Pedestrian Interaction in Tracking: The Social Force Model and Global Optimization Methods.- Surveillance of Crowded Environments: Modeling the Crowd by its Global Properties.- Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods.- Crowd Counting and Profiling: Methodology and Evaluation.- Anomaly Detection in Crowded Scenes: A Novel Framework based on Swarm Optimization and Social Force Modeling.

Discusses common challenges and points to problem areas related to modeling, simulation, and visual analysis of crowds Facilitates the process of cross-disciplinary interaction among researchers from areas of computer vision, computer graphics and evacuation dynamics by providing a common platform Provides a comprehensive map of the current state of the art in these distinct but related fields Includes supplementary material: sn.pub/extras