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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
Attention for Chapter 14: Crowd Counting and Profiling: Methodology and Evaluation
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