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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.
This text sets out to demonstrate the influence of street crowds and political riots on literature in the period between 1800 and 1850. Notable works from the period are used to highlight the author's argument that crowds became a rival for the representational claims of the texts themselves.
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
Die digitale Revolution ist mit dem Versprechen verknüpft, die Selbstständigkeit des einzelnen Nutzers zu stärken. Der Aufstieg von kommerziellen Plattformen zur Koordination von Crowdarbeit stellt die Gültigkeit dieses Narrativs jedoch in Frage. In Crowd-Design analysiert Florian Alexander Schmidt die Entstehungsgeschichte, Funktionsweise und Rhetorik solcher Plattformen. Der Vergleich von historischen Crowd-Diskursen und Visionen der Online-Kollaboration bildet den Ausgangspunkt für eine kritische Betrachtung aktueller Ausprägungen von Crowdarbeit: Der Fokus der Studie liegt auf der Auslagerung von Designaufgaben unter Verwendung dieser Crowdsourcing-Plattformen. Grundlegenden Mechanismen, welche den Plattformbetreibern zur Motivation und Kontrolle der Crowds dienen, werden offengelegt.
Train your brain to be a real contrarian and outsmart the crowd Beat the Crowd is the real contrarian’s guide to investing, with comprehensive explanations of how a true contrarian investor thinks and acts – and why it works more often than not. Bestselling author Ken Fisher breaks down the myths and cuts through the noise to present a clear, unvarnished view of timeless market realities, and the ways in which a contrarian approach to investing will outsmart the herd. In true Ken Fisher style, the book explains why the crowd often goes astray—and how you can stay on track. Contrarians understand how headlines really affect the market and which noise and fads they should tune out. Beat the Crowd is a primer to the contrarian strategy, teaching readers simple tricks to think differently and get it right more often than not. Discover the limits of forecasting and how far ahead you should look Learn why political controversy matter less the louder it gets Resurrect long-forgotten, timeless tricks and truths in markets Find out how the contrarian approach makes you right more often than wrong A successful investment strategy requires information, preparation, a little bit of brainpower, and a larger bit of luck. Pursuit of the mythical perfect strategy frequently lands folks in a cacophony of talking heads and twenty-four hour noise, but Beat the Crowd cuts through the mental clutter and collects the pristine pieces of actual value into a tactical approach based on going against the grain.
A memorial number was issued with v.7.