Modeling, Simulation and Visual Analysis of Crowds: A Multidisciplinary Perspective: The International Series in Video Computing, cartea 11
Editat de Saad Ali, Ko Nishino, Dinesh Manocha, Mubarak Shahen Limba Engleză Hardback – 23 noi 2013
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."
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Specificații
ISBN-13: 9781461484820
ISBN-10: 1461484820
Pagini: 424
Ilustrații: XI, 411 p. 208 illus.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.83 kg
Ediția:2013
Editura: Springer
Colecția Springer
Seria The International Series in Video Computing
Locul publicării:New York, NY, United States
ISBN-10: 1461484820
Pagini: 424
Ilustrații: XI, 411 p. 208 illus.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.83 kg
Ediția:2013
Editura: Springer
Colecția Springer
Seria The International Series in Video Computing
Locul publicării:New York, NY, United States
Public țintă
Professional/practitionerCuprins
Modeling, Simulation and Visual Analysis of Crowds: A Multidisciplinary Perspective.- On Force-based Modeling of Pedestrian Dynamics.- Connection between Microscopic and Macroscopic Models.- Analysis of Crowd Dynamics with Laboratory Experiments.- Modeling a Crowd of Groups: Multidisciplinary and Methodological Challenges.- Scalable Solutions for Simulating, Animating, and Rendering Real-Time Crowds of Diverse Virtual Humans.- Authoring Multi-Actor Behaviors in Crowds with Diverse Personalities.- Virtual Tawaf: A Velocity-space-based Solution for Simulating Heterogeneous Behavior in Dense Crowds.- Crowd Flow Segmentation using Lagrangian Particle Dynamics.- Modeling Crowd Flow for Video Analysis of Crowded Scenes.- Pedestrian Interaction in Tracking: The Social Force Model and Global Optimization Methods.- Surveillance of Crowded Environments: Modeling the Crowd by its Global Properties.- Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods.- Crowd Counting and Profiling: Methodology and Evaluation.- Anomaly Detection in Crowded Scenes: A Novel Framework based on Swarm Optimization and Social Force Modeling.
Caracteristici
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