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  • © 2013

Modeling, Simulation and Visual Analysis of Crowds

A Multidisciplinary Perspective

Editors:

  • 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

Part of the book series: The International Series in Video Computing (VICO, volume 11)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xi
  2. Modeling, Simulation and Visual Analysis of Crowds: A Multidisciplinary Perspective

    • Saad Ali, Ko Nishino, Dinesh Manocha, Mubarak Shah
    Pages 1-19
  3. Crowd Simulation and Behavior Modeling

    1. Front Matter

      Pages 21-21
    2. On Force-Based Modeling of Pedestrian Dynamics

      • Mohcine Chraibi, Andreas Schadschneider, Armin Seyfried
      Pages 23-41
    3. Connection Between Microscopic and Macroscopic Models

      • Jan-Frederik Pietschmann
      Pages 43-65
    4. Analysis of Crowd Dynamics with Laboratory Experiments

      • Maik Boltes, Jun Zhang, Armin Seyfried
      Pages 67-97
    5. Modeling a Crowd of Groups: Multidisciplinary and Methodological Challenges

      • Stefania Bandini, Giuseppe Vizzari
      Pages 99-122
    6. Scalable Solutions for Simulating, Animating, and Rendering Real-Time Crowds of Diverse Virtual Humans

      • Daniel Thalmann, Helena Grillon, Jonathan Maïm, Barbara Yersin
      Pages 123-145
    7. Authoring Multi-actor Behaviors in Crowds with Diverse Personalities

      • Mubbasir Kapadia, Alexander Shoulson, Funda Durupinar, Norman I. Badler
      Pages 147-180
    8. Virtual Tawaf: A Velocity-Space-Based Solution for Simulating Heterogeneous Behavior in Dense Crowds

      • Sean Curtis, Stephen J. Guy, Basim Zafar, Dinesh Manocha
      Pages 181-209
  4. Visual Analysis of Crowds

    1. Front Matter

      Pages 211-211
    2. Crowd Flow Segmentation Using Lagrangian Particle Dynamics

      • Saad Ali, Mubarak Shah
      Pages 213-236
    3. Modeling Crowd Flow for Video Analysis of Crowded Scenes

      • Ko Nishino, Louis Kratz
      Pages 237-265
    4. Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods

      • Avishy Y. Carmi, Lyudmila Mihaylova, François Septier, Sze Kim Pang, Pini Gurfil, Simon J. Godsill
      Pages 325-346
    5. Crowd Counting and Profiling: Methodology and Evaluation

      • Chen Change Loy, Ke Chen, Shaogang Gong, Tao Xiang
      Pages 347-382
    6. Anomaly Detection in Crowded Scenes: A Novel Framework Based on Swarm Optimization and Social Force Modeling

      • R. Raghavendra, M. Cristani, A. Del Bue, E. Sangineto, V. Murino
      Pages 383-411

About this book

Over the last several years there has been a growing interest in developing computational methodologies for modeling and analyzing movements and behaviors of ‘crowds' of people. This interest spans several scientific areas that includes Computer Vision, Computer Graphics, and Pedestrian Evacuation Dynamics. Despite the fact that these different scientific fields are trying to model the same physical entity (i.e. a crowd of people), research ideas have evolved independently. As a result each discipline has developed techniques and perspectives that are characteristically their own.

The goal of this book is to provide the readers a comprehensive map towards the common goal of better analyzing and synthesizing the pedestrian movement in dense, heterogeneous crowds. The book is organized into different parts that consolidate various aspects of research towards this common goal, namely the modeling, simulation, and visual analysis of crowds.

Through this book, readers will see the common ideas and vision as well as the different challenges and techniques, that will stimulate novel approaches to fully grasping “crowds."

Editors and Affiliations

  • Center for Vision Technologies, SRI International, Princeton, USA

    Saad Ali

  • Department of Computer Science, Drexel University, Philadelphia, USA

    Ko Nishino

  • Department of Computer Science, University of North Carolina, Chapel Hill, USA

    Dinesh Manocha

  • Center for Research in Computer Vision, University of Central Florida, Orlando, USA

    Mubarak Shah

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 119.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access