Modeling, Simulation and Visual Analysis of Crowds

A Multidisciplinary Perspective

Editors:

ISBN: 978-1-4614-8482-0 (Print) 978-1-4614-8483-7 (Online)

Table of contents (15 chapters)

  1. Front Matter

    Pages i-xi

  2. No Access

    Chapter

    Pages 1-19

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

  3. Crowd Simulation and Behavior Modeling

    1. Front Matter

      Pages 21-21

    2. No Access

      Chapter

      Pages 23-41

      On Force-Based Modeling of Pedestrian Dynamics

    3. No Access

      Chapter

      Pages 43-65

      Connection Between Microscopic and Macroscopic Models

    4. No Access

      Chapter

      Pages 67-97

      Analysis of Crowd Dynamics with Laboratory Experiments

    5. No Access

      Chapter

      Pages 99-122

      Modeling a Crowd of Groups: Multidisciplinary and Methodological Challenges

    6. No Access

      Chapter

      Pages 123-145

      Scalable Solutions for Simulating, Animating, and Rendering Real-Time Crowds of Diverse Virtual Humans

    7. No Access

      Chapter

      Pages 147-180

      Authoring Multi-actor Behaviors in Crowds with Diverse Personalities

    8. No Access

      Chapter

      Pages 181-209

      Virtual Tawaf: A Velocity-Space-Based Solution for Simulating Heterogeneous Behavior in Dense Crowds

  4. Visual Analysis of Crowds

    1. Front Matter

      Pages 211-211

    2. No Access

      Chapter

      Pages 213-236

      Crowd Flow Segmentation Using Lagrangian Particle Dynamics

    3. No Access

      Chapter

      Pages 237-265

      Modeling Crowd Flow for Video Analysis of Crowded Scenes

    4. No Access

      Chapter

      Pages 267-294

      Pedestrian Interaction in Tracking: The Social Force Model and Global Optimization Methods

    5. No Access

      Chapter

      Pages 295-324

      Surveillance of Crowded Environments: Modeling the Crowd by Its Global Properties

    6. No Access

      Chapter

      Pages 325-346

      Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods

    7. No Access

      Chapter

      Pages 347-382

      Crowd Counting and Profiling: Methodology and Evaluation

    8. No Access

      Chapter

      Pages 383-411

      Anomaly Detection in Crowded Scenes: A Novel Framework Based on Swarm Optimization and Social Force Modeling