Modeling, Simulation and Visual Analysis of Crowds A Multidisciplinary Perspective /

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 Evacuat...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Ali, Saad (Επιμελητής έκδοσης), Nishino, Ko (Επιμελητής έκδοσης), Manocha, Dinesh (Επιμελητής έκδοσης), Shah, Mubarak (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
Σειρά:The International Series in Video Computing, 11
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.