Advertisement

Statistical and Geometrical Approaches to Visual Motion Analysis

International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers

  • Daniel Cremers
  • Bodo Rosenhahn
  • Alan L. Yuille
  • Frank R. Schmidt

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5604)

Table of contents

  1. Front Matter
  2. Optical Flow and Extensions

    1. Stefan Roth, Victor Lempitsky, Carsten Rother
      Pages 1-22
    2. Andreas Wedel, Thomas Pock, Christopher Zach, Horst Bischof, Daniel Cremers
      Pages 23-45
    3. Andreas Wedel, Tobi Vaudrey, Annemarie Meissner, Clemens Rabe, Thomas Brox, Uwe Franke et al.
      Pages 46-69
    4. Tobias Schuchert, Hanno Scharr
      Pages 70-90
    5. Matthias Ghodstinat, Andrés Bruhn, Joachim Weickert
      Pages 91-106
  3. Human Motion Modeling

    1. Martin A. Giese, Albert Mukovskiy, Aee-Ni Park, Lars Omlor, Jean-Jacques E. Slotine
      Pages 107-127
    2. Vittorio Ferrari, Manuel Marín-Jiménez, Andrew Zisserman
      Pages 128-147
    3. Dennis Herzog, Volker Krüger
      Pages 148-168
    4. Christian Thurau, Václav Hlaváč
      Pages 169-192
  4. Biological and Statistical Approaches

    1. Andrew Glennerster, Miles E. Hansard, Andrew W. Fitzgibbon
      Pages 193-208
    2. Shuang Wu, Hongjing Lu, Alan Lee, Alan Yuille
      Pages 235-258
  5. Alternative Approaches to Motion Analysis

    1. Jorge Sanchez, Reinhard Klette, Eduardo Destefanis
      Pages 259-279
    2. Florian Pilz, Nicolas Pugeault, Norbert Krüger
      Pages 280-304
    3. Lennart Wietzke, Gerald Sommer, Oliver Fleischmann, Christian Schmaltz
      Pages 305-322
  6. Back Matter

About these proceedings

Introduction

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 critical aspects of motion analysis, including motion segmentation and the modeling of motion patterns. The aim was to gather researchers who are experts in the different motion tasks and in the different techniques used; also involved were experts in the study of human and primate vision.

The 15 revised full papers presented were carefully reviewed and selected from or initiated by the lectures given at the workshop. The papers are organized in topical sections on optical flow and extensions, human motion modeling, biological and statistical approaches, alternative approaches to motion analysis.

Keywords

algorithms bio-inspired vision calculus cognitive sciences component analysis depth estimation factorization geometrical frameworks graph cut approaches human vision image data analysis level set methods machine vision modeling motion patterns

Editors and affiliations

  • Daniel Cremers
    • 1
  • Bodo Rosenhahn
    • 2
  • Alan L. Yuille
    • 3
  • Frank R. Schmidt
    • 1
  1. 1.Institut für Informatik IIIUniversität BonnBonnGermany
  2. 2.Institut für InformationsverarbeitungLeibniz Universität HannoverHannoverGermany
  3. 3.Department of Statistics and PsychologyUniversity of California - Los AngelesLos AngelesUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03061-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-03060-4
  • Online ISBN 978-3-642-03061-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site