Statistical and Geometrical Approaches to Visual Motion Analysis Int
This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Statistical and Geometrical Approaches to Visual Motion Analysis, held in Dagstuhl Castle, Germany, in July 2008. The workshop focused on cr
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Daniel Cremers Bodo Rosenhahn Alan L. Yuille Frank R. Schmidt (Eds.)
Statistical and Geometrical Approaches to Visual Motion Analysis International Dagstuhl Seminar Dagstuhl Castle, Germany, July 13-18, 2008 Revised Papers
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Volume Editors Daniel Cremers Universität Bonn, Institut für Informatik III Römerstraße 164, 53117 Bonn, Germany E-mail: [email protected] Bodo Rosenhahn Leibniz Universität Hannover, Institut für Informationsverarbeitung Appelstraße 9A, 30167 Hannover, Germany E-mail: [email protected] Alan L. Yuille University of California, Department of Statistics and Psychology 8967 Math Sciences Building, Los Angeles, CA 90095-1554, USA E-mail: [email protected] Frank R. Schmidt Universität Bonn, Institut für Informatik III Römerstraße 164, 53117 Bonn, Germany E-mail: [email protected]
Library of Congress Control Number: 2009930038 CR Subject Classification (1998): I.4.8, I.4, I.2.8-10, I.5, I.3.5, F.2.2 LNCS Sublibrary: SL 6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics ISSN ISBN-10 ISBN-13
0302-9743 3-642-03060-2 Springer Berlin Heidelberg New York 978-3-642-03060-4 Springer Berlin Heidelberg New York
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Preface
Motion analysis is central to both human and machine vision. It involves the interpretation of image data over time and is crucial for a range of motion tasks such as obstacle detection, depth estim
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