Center for Research in Comptuer Vision
Center for Research in Comptuer Vision


Announcing A New Book: Modeling, Simulation and Visual Analysis of Crowds

S. Ali, SRI International, Princeton, USA; K. Nishino, Drexel University, Philadelphia, USA;
D. Manocha, University of North Carolina, Chapel Hill, USA; M. Shah, University of Central Florida, Orlando, USA (Eds.)

Modeling, Simulation and Visual Analysis of Crowds

A Multidisciplinary Perspective

Series: The International Series in Video Computing, Vol. 11

▶ 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

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 to provide the readers a comprehensive map towards the common goal of better analyzing and synthesizing the pedestrian movement in dense, heterogeneous crowds. The monograph 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."

Order online at springer.com ▶ or for the Americas call (toll free) 1-800-SPRINGER ▶ or email us at: orders-
ny@springer.com. ▶ For outside the Americas call +49 (0) 6221-345-4301 ▶ or email us at: orders-hd-individuals@springer.com.

The first € price and the £ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the €(D) includes 7% for Germany, the €(A) includes 10% for Austria. Prices indicated with ** include VAT for electronic products; 19% for Germany, 20% for Austria. All prices exclusive of carriage charges. Prices and other details are subject to change without notice. All errors and omissions excepted.


2013, XI, 411 p. 208 illus., 184 illus. in color.

Printed book
Hardcover
▶ 94,99 € | £85.50 | $129.00
▶ *101,64 € (D) | 104,49 € (A) | CHF 126.50

eBook
Available from your library or
springer.com/shop

MyCopy
Printed eBook for just
▶ € | $ 24.99
springer.com/mycopy




Modeling, Simulation and Visual Analysis of Crowds
A Multidisciplinary Perspective
Editors: Saad Ali (SRI International), Ko Nishino (Drexel University),
Dinesh Manocha (University of North Carolina), Mubarak Shah (University of Central Florida)


1 Modeling, Simulation and Visual Analysis of Crowds: A Multidisciplinary Perspective
Saad Ali (SRI International), Ko Nishino (Drexel University), Dinesh Manocha (University of North Carolina), Mubarak Shah (University of Central Florida)

Part I Crowd Simulation and Behavior Modeling

2 On Force-Based Modeling of Pedestrian Dynamics
Mohcine Chraibi (Jülich Supercomputing Centre), Andreas Schadschneider (Universität zu Küln), and Armin Seyfried (Jülich Supercomputing Centre)

3 Connection Between Microscopic and MacroscopicModels
Jan-Frederik Pietschmann (Royal Institute of Technology)

4 Analysis of Crowd Dynamics with Laboratory Experiments
Maik Boltes (Jülich Supercomputing Centre), Jun Zhang (Jülich Supercomputing Centre), and Armin Seyfried (Jülich Supercomputing Centre)

5 Modeling a Crowd of Groups: Multidisciplinary and Methodological Challenges
Stefania Bandini (University of Milan-Bicocca) and Giuseppe Vizzari (University of Milan-Bicocca)

6 Scalable Solutions for Simulating, Animating, and Rendering Real-Time Crowds of Diverse Virtual Humans
Daniel Thalmann (Nanyang Technological University), Helena Grillon (Centrale de Compensation), Jonathan Maïm (Bengaluru Area), and Barbara Yersin (Bengaluru Area)

7 Authoring Multi-actor Behaviors in Crowds with Diverse Personalities
Mubbasir Kapadia (University of Pennsylvania), Alexander Shoulson (University of Pennsylvania), Funda Durupinar (University of Pennsylvania), and Norman I. Badler (University of Pennsylvania)

8 Virtual Tawaf: A Velocity-Space-Based Solution for Simulating Heterogeneous Behavior in Dense Crowds
Sean Curtis (University of North Carolina), Stephen J. Guy (University of North Carolina), Basim Zafar (Umm al-Qura University), and Dinesh Manocha (University of North Carolina)

Part II Visual Analysis of Crowds

9 Crowd Flow Segmentation Using Lagrangian Particle Dynamics
Saad Ali (SRI International) and Mubarak Shah (University of Central Florida)

10 Modeling Crowd Flow for Video Analysis of Crowded Scenes
Ko Nishino (Drexel University) and Louis Kratz (Drexel University)

11 Pedestrian Interaction in Tracking: The Social Force Model and Global Optimization Methods
Laura Leal-Taixé (Leibniz University Hannover) and Bodo Rosenhahn (Leibniz University Hannover)

12 Surveillance of Crowded Environments: Modeling the Crowd by Its Global Properties
Antoni B. Chan (City University of Hong Kong) and Nuno Vasconcelos (University of California)

13 Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods
Avishy Y. Carmi (Nanyang University), Lyudmila Mihaylova (Lancaster University), François Septier (TELECOM), Sze Kim
Pang (DSO National Laboratories), Pini Gurfil (Technion Israel Institute of Technology), and Simon J. Godsill (University of Cambridge)

14 Crowd Counting and Profiling:Methodology and Evaluation
Chen Change Loy (The Chinese University of Hong Kong), Ke Chen(Queen Mary University of London), Shaogang Gong (Queen Mary University of London), and Tao Xiang (Queen Mary University of London)

15 Anomaly Detection in Crowded Scenes: A Novel Framework Based on Swarm Optimization and Social Force Modeling
R. Raghavendra (Istituto Italiano di Tecnologia), M. Cristani (Istituto Italiano di Tecnologia), A. Del Bue (Istituto Italiano di Tecnologia), E. Sangineto (Istituto Italiano di Tecnologia), and V. Murino (Istituto Italiano di Tecnologia)