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Modeling, Simulation and Visual Analysis of Crowds

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Cover of 'Modeling, Simulation and Visual Analysis of Crowds'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling, Simulation and Visual Analysis of Crowds: A Multidisciplinary Perspective
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    Chapter 2 On Force-Based Modeling of Pedestrian Dynamics
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    Chapter 3 Connection Between Microscopic and Macroscopic Models
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    Chapter 4 Analysis of Crowd Dynamics with Laboratory Experiments
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    Chapter 5 Modeling a Crowd of Groups: Multidisciplinary and Methodological Challenges
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    Chapter 6 Scalable Solutions for Simulating, Animating, and Rendering Real-Time Crowds of Diverse Virtual Humans
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    Chapter 7 Authoring Multi-actor Behaviors in Crowds with Diverse Personalities
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    Chapter 8 Virtual Tawaf: A Velocity-Space-Based Solution for Simulating Heterogeneous Behavior in Dense Crowds
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    Chapter 9 Crowd Flow Segmentation Using Lagrangian Particle Dynamics
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    Chapter 10 Modeling Crowd Flow for Video Analysis of Crowded Scenes
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    Chapter 11 Pedestrian Interaction in Tracking: The Social Force Model and Global Optimization Methods
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    Chapter 12 Surveillance of Crowded Environments: Modeling the Crowd by Its Global Properties
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    Chapter 13 Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods
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    Chapter 14 Crowd Counting and Profiling: Methodology and Evaluation
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    Chapter 15 Anomaly Detection in Crowded Scenes: A Novel Framework Based on Swarm Optimization and Social Force Modeling
Overall attention for this book and its chapters
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3 Wikipedia pages

Citations

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Title
Modeling, Simulation and Visual Analysis of Crowds
Published by
Springer New York, January 2013
DOI 10.1007/978-1-4614-8483-7
ISBNs
978-1-4614-8482-0, 978-1-4614-8483-7
Editors

Saad Ali, Ko Nishino, Dinesh Manocha, Mubarak Shah

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Brazil 1 1%
South Africa 1 1%
United Kingdom 1 1%
Japan 1 1%
Algeria 1 1%
Unknown 69 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 31%
Student > Master 16 21%
Researcher 10 13%
Student > Doctoral Student 5 7%
Student > Bachelor 3 4%
Other 11 15%
Unknown 7 9%
Readers by discipline Count As %
Computer Science 28 37%
Engineering 24 32%
Design 4 5%
Earth and Planetary Sciences 2 3%
Business, Management and Accounting 2 3%
Other 6 8%
Unknown 9 12%