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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
Includes Case Studies from a Range of Event Sites Introduction to Crowd Science examines the growing rate of crowd-related accidents and incidents around the world. Using tools, methods, and worked examples gleaned from over 20 years of experience, this text provides an understanding of crowd safety. It establishes how crowd accidents and incidents (specifically mass fatalities in crowded spaces) can occur. The author explores the underlying causes and implements techniques for crowd risk analysis and crowd safety engineering that can help minimize and even eliminate occurrences altogether. Understand Overall Crowd Dynamics and Levels of Complex Structure The book outlines a simple modeling approach to crowd risk analysis and crowds safety in places of public assembly. With consideration for major events, and large-scale urban environments, the material focuses on the practical elements of developing the crowd risk analysis and crowd safety aspects of an event plan. It outlines a range of modeling techniques, including line diagrams that represent crowd flow, calculations of the speed at which a space can fill, and the time it takes for that space to reach critical and crush density. It also determines what to consider during the event planning and approval (licensing/permitting) phases of the event process. Introduction to Crowd Science addresses key questions and presents a systematic approach to managing crowd risks in complex sites. It provides an understanding of the complexity of a site, that helps youplan for crowds in public places.
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 seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.
Electric Literature 25 Best Novels of 2014 Largehearted Boy Favorite Novels of 2014 "An extraordinary new literary talent."--The Daily Telegraph "In part a portrait of the artist as a young woman, this deceptively modest-seeming, astonishingly inventive novel creates an extraordinary intimacy, a sensibility so alive it quietly takes over all your senses, quivering through your nerve endings, opening your eyes and heart. Youth, from unruly student years to early motherhood and a loving marriage--and then, in the book's second half, wilder and something else altogether, the fearless, half-mad imagination of youth, I might as well call it—has rarely been so freshly, charmingly, and unforgettably portrayed. Valeria Luiselli is a masterful, entirely original writer."--Francisco Goldman In Mexico City, a young mother is writing a novel of her days as a translator living in New York. In Harlem, a translator is desperate to publish the works of Gilberto Owen, an obscure Mexican poet. And in Philadelphia, Gilberto Owen recalls his friendship with Lorca, and the young woman he saw in the windows of passing trains. Valeria Luiselli's debut signals the arrival of a major international writer and an unexpected and necessary voice in contemporary fiction. "Luiselli's haunting debut novel, about a young mother living in Mexico City who writes a novel looking back on her time spent working as a translator of obscure works at a small independent press in Harlem, erodes the concrete borders of everyday life with a beautiful, melancholy contemplation of disappearance. . . . Luiselli plays with the idea of time and identity with grace and intuition." —Publishers Weekly
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.
Research into the methods and techniques used in simulating crowds has developed extensively within the last few years, particularly in the areas of video games and film. Despite recent impressive results when simulating and rendering thousands of individuals, many challenges still exist in this area. The comparison of simulation with reality, the realistic appearance of virtual humans and their behavior, group structure and their motion, and collision avoidance are just some examples of these challenges. For most of the applications of crowds, it is now a requirement to have real-time simulations – which is an additional challenge, particularly when crowds are very large. Crowd Simulation analyses these challenges in depth and suggests many possible solutions. Daniel Thalmann and Soraia Musse share their experiences and expertise in the application of: · Population modeling · Virtual human animation · Behavioral models for crowds · The connection between virtual and real crowds · Path planning and navigation · Visual attention models · Geometric and populated semantic environments · Crowd rendering The second edition presents techniques and methods developed since the authors first covered the simulation of crowds in 2007. Crowd Simulation includes in-depth discussions on the techniques of path planning, including a new hybrid approach between navigation graphs and potential-based methods. The importance of gaze attention – individuals appearing conscious of their environment and of others – is introduced, and a free-of-collision method for crowds is also discussed.
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- Includes easily accessible discrete models (cellular automata, artificial chemistry), a great number of informative illustrations, enlightening quotations, and an encyclopedic list of references.- Models and paradigms developed in the book can be applied to mathematical studies of affective collective intelligence, computational models of minds near the state of mental disorder, the design of massive-parallel prototypes of artificial consciousness, software implementations of affective cognition, and the design of hardware prototypes of emotional controllers.