Group and Crowd Behavior for Computer Vision provides a multidisciplinary perspective on how to solve the problem of group and crowd analysis and modeling, combining insights from the social sciences with technological ideas in computer vision and pattern recognition. The book answers many unresolved issues in group and crowd behavior, with Part One providing an introduction to the problems of analyzing groups and crowds that stresses that they should not be considered as completely diverse entities, but as an aggregation of people. Part Two focuses on features and representations with the aim of recognizing the presence of groups and crowds in image and video data. It discusses low level processing methods to individuate when and where a group or crowd is placed in the scene, spanning from the use of people detectors toward more ad-hoc strategies to individuate group and crowd formations. Part Three discusses methods for analyzing the behavior of groups and the crowd once they have been detected, showing how to extract semantic information, predicting/tracking the movement of a group, the formation or disaggregation of a group/crowd and the identification of different kinds of groups/crowds depending on their behavior. The final section focuses on identifying and promoting datasets for group/crowd analysis and modeling, presenting and discussing metrics for evaluating the pros and cons of the various models and methods. This book gives computer vision researcher techniques for segmentation and grouping, tracking and reasoning for solving group and crowd modeling and analysis, as well as more general problems in computer vision and machine learning. - Presents the first book to cover the topic of modeling and analysis of groups in computer vision - Discusses the topics of group and crowd modeling from a cross-disciplinary perspective, using social science anthropological theories translated into computer vision algorithms - Focuses on group and crowd analysis metrics - Discusses real industrial systems dealing with the problem of analyzing groups and crowds

In this fascinating book, New Yorker business columnist James Surowiecki explores a deceptively simple idea: Large groups of people are smarter than an elite few, no matter how brilliant—better at solving problems, fostering innovation, coming to wise decisions, even predicting the future. With boundless erudition and in delightfully clear prose, Surowiecki ranges across fields as diverse as popular culture, psychology, ant biology, behavioral economics, artificial intelligence, military history, and politics to show how this simple idea offers important lessons for how we live our lives, select our leaders, run our companies, and think about our world.

"The Behavior of Crowds: A Psychological Study" by Everett Dean Martin. Published by Good Press. Good Press publishes a wide range of titles that encompasses every genre. From well-known classics & literary fiction and non-fiction to forgotten−or yet undiscovered gems−of world literature, we issue the books that need to be read. Each Good Press edition has been meticulously edited and formatted to boost readability for all e-readers and devices. Our goal is to produce eBooks that are user-friendly and accessible to everyone in a high-quality digital format.

From jubilant sports fans celebrating a victory to angry political protestors, crowds create volatile situations that can all too often result in violence or property destruction. Preventing Crowd Violence offers a lucid examination of crowd behavior and of law enforcement tactics designed to deescalate tensions and promote cooperative interactions.

Crowd behavior is one of the most colorful but least understood forms of human social behavior. This volume is a major contribution to the field of collective behavior, with implications for social movement analysis.McPhail's critical assessment of the major theories of crowd behavior establishes that, whatever their particular limitations and strengths, all share a general and serious flaw: their explanations were developed without prior examination of the behaviors to be explained. Drawing on a wide range of empirical studies that include his own careful field work, the author offers a new characterization of temporary gatherings. He presents a life cycle of gatherings and a taxonomy of forms of collective behavior within gatherings, as well as combinations of these forms and gatherings into larger events, campaigns and waves. McPhail also develops a new explanation for various ways in which purposive actors construct collective actions.

This “disturbing yet fascinating” exploration of mass mania through the ages explains the biological and psychological roots of irrationality (Kirkus Reviews). From time immemorial, contagious narratives have spread through susceptible groups—with enormous, often disastrous, consequences. Inspired by Charles Mackay’s nineteenth-century classic Memoirs of Extraordinary Popular Delusions and the Madness of Crowds, neurologist and author William Bernstein examines mass delusion through the lens of current scientific research in The Delusions of Crowds. Bernstein tells the stories of dramatic religious and financial mania in western society over the last five hundred years—from the Anabaptist Madness of the 1530s to the dangerous End-Times beliefs that pervade today’s polarized America; and from the South Sea Bubble to the Enron scandal and dot com bubbles. Through Bernstein’s supple prose, the participants are as colorful as their “desire to improve one’s well-being in this life or the next.” Bernstein’s chronicles reveal the huge cost and alarming implications of mass mania. He observes that if we can absorb the history and biology of this all-too-human phenomenon, we can recognize it more readily in our own time, and avoid its frequently dire impact.

This book provides a deep understanding of state-of-art methods for simulation of heterogeneous crowds in computer graphics. It will cover different aspects that are necessary to achieve plausible crowd behaviors. The book will be a review of the most recent literature in this field that can help professionals and graduate students interested in this field to get up to date with the latest contributions, and open problems for their possible future research. The chapter contributors are well known researchers and practitioners in the field and they include their latest contributions in the different topics required to achieve believable heterogeneous crowd simulation.

This volume presents novel computational models for representing digital humans and their interactions with other virtual characters and meaningful environments. In this context, we describe efficient algorithms to animate, control, and author human-like agents having their own set of unique capabilities, personalities, and desires. We begin with the lowest level of footstep determination to steer agents in collision-free paths. Steering choices are controlled by navigation in complex environments, including multi-domain planning with dynamically changing situations. Virtual agents are given perceptual capabilities analogous to those of real people, including sound perception, multi-sense attention, and understanding of environment semantics which affect their behavior choices. The roles and impacts of individual attributes, such as memory and personality are explored. The animation challenges of integrating a number of simultaneous behavior and movement demands on an agent are addressed through an open source software system. Finally, the creation of stories and narratives with groups of agents subject to planning and environmental constraints culminates the presentation.