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

Modeling, Simulation and Visual Analysis of Crowds

A Multidisciplinary Perspective

Saad Ali und andere
    • 87,99 €
    • 87,99 €

Beschreibung des Verlags

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 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."

GENRE
Computer und Internet
ERSCHIENEN
2013
22. November
SPRACHE
EN
Englisch
UMFANG
422
Seiten
VERLAG
Springer New York
ANBIETERINFO
Springer Science & Business Media LLC
GRÖSSE
12,1
 MB
Traffic and Granular Flow '17 Traffic and Granular Flow '17
2019
Machine Learning for Vision-Based Motion Analysis Machine Learning for Vision-Based Motion Analysis
2010
Traffic and Granular Flow '13 Traffic and Granular Flow '13
2014
Articulated Motion and Deformable Objects Articulated Motion and Deformable Objects
2010
Automated Multi-Camera Surveillance Automated Multi-Camera Surveillance
2008
Handbook of Dynamic Data Driven Applications Systems Handbook of Dynamic Data Driven Applications Systems
2022