Modeling, Simulation and Visual Analysis of Crowds: A Multidisciplinary Perspective

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.