Details

Visual Analysis of Humans


Visual Analysis of Humans

Looking at People

von: Thomas B. Moeslund, Adrian Hilton, Volker Krüger, Leonid Sigal

149,79 €

Verlag: Springer
Format: PDF
Veröffentl.: 08.10.2011
ISBN/EAN: 9780857299970
Sprache: englisch
Anzahl Seiten: 634

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges. Features: with a Foreword by Professor Larry Davis; contains contributions from an international selection of leading authorities in the field; includes an extensive glossary; discusses the problems associated with detecting and tracking people through camera networks; examines topics related to determining the time-varying 3D pose of a person from video; investigates the representation and recognition of human and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.
<p>Understanding human activity from video is one of the central problems in the field of computer vision, driven by a wide variety of applications in communications, entertainment, security, commerce, and athletics.</p><p>This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges.</p><p>Topics and features: with a Foreword by Professor Larry Davis of the University of Maryland Institute for Advanced Computer Studies, USA; contains contributions from an international selection of leading authorities in the field; includes an extensive glossary; discusses the problems associated with detecting and tracking people through camera networks; examines topics related to determining the time-varying 3D pose of a person from video; investigates the representation and recognition of human and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.</p><p>With its all-encompassing scope, this essential reference will be of great value not only to graduate students in computer vision, but also to all researchers and professionals interested in systems for the visual analysis of humans.</p>
<p><b>Part I: Detection and Tracking</b></p><p>Is There Anybody Out There?<br><i>Thomas B. Moeslund</i></p><p>Beyond the Static Camera: Issues and Trends in Active Vision<br><i>Murad Al Haj, Carles Fernández, Zhanwu Xiong, Ivan Huerta, Jordi Gonzàlez and Xavier Roca</i></p><p>Figure-Ground Segmentation - Pixel-Based<br><i>Ahmed Elgammal</i></p><p>Figure-Ground Segmentation – Object Based<br><i>Bastian Leibe</i></p><p>Face Detection<br><i>Raghuraman Gopalan, William Robson Schwartz, Rama Chellappa, and Ankur Srivastava</i></p><p>Wide Area Tracking in Single and Multiple Views<br><i>B. Song, R. J. Sethi and A. K. Roy-Chowdhury</i></p><p>Benchmark Datasets for Detection and Tracking<br><i>Anna-Louise Ellis and James Ferryman</i></p><p><b>Part II: Pose Estimation</b></p><p>Articulated Pose Estimation and Tracking: Introduction<br><i>Leonid Sigal</i></p><p>Model-based Pose Estimation<br><i>Gerard Pons-Moll and Bodo Rosenhahn</i></p><p>Motion Models for People Tracking<br><i>David J. Fleet</i></p><p>Part-based Models for Finding People and Estimating Their Pose<br><i>Deva Ramanan</i></p><p>Feature-based Pose Estimation<br><i>Cristian Sminchisescu, Liefeng Bo, Catalin Ionescu and Atul Kanaujia</i></p><p>Benchmark Datasets for Pose Estimation and Tracking<br><i>Mykhaylo Andriluka, Leonid Sigal and Michael J. Black</i></p><p><b>Part III: Recognition</b></p><p>On Human Action<br><i>Aaron Bobick and Volker Krüger</i></p><p>Motion Pattern Analysis for Modeling and Recognition of Complex Human Activities<br><i>Nandita M. Nayak, Ricky J.Sethi, Bi Song, Amit K. Roy-Chowdhury</i></p><p>Action Recognition Using Topic Models<br><i>Xiaogang Wang</i></p><p>Learning Action Primitives<br><i>Dana Kulić, Danica Kragic and Volker Krüger</i></p><p>Contextual Action Recognition<br><i>Hedvig Kjellström</i></p><p>Facial Expression Analysis<br><i>Fernando De la Torre and Jeffrey F. Cohn</i></p><p><i>Benchmarking Datasets for Human Activity Recognition<br></i>Haowei Liu, Rogerio Feris and Ming-Ting Sun</p><p><b>Part IV: Applications</b></p><p>Applications for Visual Analysis of People<br><i>Adrian Hilton</i></p><p>Image and Video-based Biometrics<br><i>Vishal M. Patel, Jaishanker K. Pillai and Rama Chellappa</i></p><p>Security and Surveillance<br><i>Shaogang Gong, Chen Change Loy and Tao Xiang</i></p><p>Predicting Pedestrian Trajectories<br><i>Stefano Pellegrini, Andreas Ess and Luc Van Gool</i></p><p>Human Computer Interaction<br><i>Dennis Lin and Vuong Le and Thomas Huang</i></p><p>Social Signal Processing: The Research Agenda<br><i>Maja Pantic, Roderick Cowie, Francesca DErrico, Dirk Heylen, Marc Mehu, Catherine Pelachaud, Isabella Poggi, Marc Schroeder and Alessandro Vinciarelli</i></p><p>Sign Language Recognition<br><i>Helen Cooper, Brian Holt and Richard Bowden</i></p><p>Sports TV Applications of Computer Vision<br><i>Graham Thomas</i></p><p>Multi-view 4D Reconstruction of Human Action for Entertainment<br><i>Oliver Grau</i></p><p>Vision for Driver Assistance: Looking at People in a Vehicle<br><i>Cuong Tran and Mohan Manubhai Trivedi</i></p>
<p>Understanding human activity from video is one of the central problems in the field of computer vision, driven by a wide variety of applications in communications, entertainment, security, commerce, and athletics.</p><p>This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges.</p><p><b>Topics and features:</b></p><ul><li>With a Foreword by Professor Larry Davis of the University of Maryland Institute for Advanced Computer Studies, USA</li><li>Contains contributions from an international selection of leading authorities in the field</li><li>Includes an extensive glossary</li><li>Discusses the problems associated with detecting and tracking people through camera networks</li><li>Examines topics related to determining the time-varying 3D pose of a person from video</li><li>Investigates the representation and recognition of human actions</li><li>Reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance</li></ul><p>With its all-encompassing scope, this essential reference will be of great value not only to graduate students in computer vision, but also to all researchers and professionals interested in systems for the visual analysis of humans.</p><p><b>Dr. Thomas B. Moeslund</b> is an Associate Professor in the Department of <i>Architecture, Design </i><i>&amp;</i><i> </i><i> </i>Media Technology at Aalborg University, Denmark. <b>Dr. Adrian Hilton</b> is Professor and Head of the Visual Media Research Group at the University of Surrey, Guildford, UK. <b>Dr. Volker Krüger</b> is an Associate Professor and Head of the Computer Vision and Machine Intelligence Laboratory at Aalborg University. <b>Dr. Leonid Sigal</b> is a Research Scientist at Disney Research, Pittsburgh, PA USA.</p>
<p>The first coherent and comprehensive overview of video analysis of humans</p><p>Surveys the state of the art, reviews past research, and discusses future trends and challenges</p><p>Includes an extensive glossary</p><p>With a Foreword by Professor Larry Davis of the University of Maryland, USA</p><p>Includes supplementary material: sn.pub/extras</p>

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