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Statistical and Geometrical Approaches to Visual Motion Analysis

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

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Daniel Cremers

    1. Institut für Informatik III, Universität Bonn, Bonn, Germany

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  2. Bodo Rosenhahn

    1. Institut für Informationsverarbeitung, Leibniz Universität Hannover, Hannover, Germany

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  3. Alan L. Yuille

    1. Department of Statistics and Psychology, University of California - Los Angeles, Los Angeles, USA

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  4. Frank R. Schmidt

    1. Institut für Informatik III, Universität Bonn, Bonn, Germany

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

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

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About this book

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.

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Table of contents (15 papers)

  1. Front Matter

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  2. Optical Flow and Extensions

    1. Discrete-Continuous Optimization for Optical Flow Estimation

      • Stefan Roth, Victor Lempitsky, Carsten Rother
      Pages 1-22

    2. An Improved Algorithm for TV-L 1 Optical Flow

      • Andreas Wedel, Thomas Pock, Christopher Zach, Horst Bischof, Daniel Cremers
      Pages 23-45

    3. An Evaluation Approach for Scene Flow with Decoupled Motion and Position

      • Andreas Wedel, Tobi Vaudrey, Annemarie Meissner, Clemens Rabe, Thomas Brox, Uwe Franke et al.
      Pages 46-69

    4. An Affine Optical Flow Model for Dynamic Surface Reconstruction

      • Tobias Schuchert, Hanno Scharr
      Pages 70-90

    5. Deinterlacing with Motion-Compensated Anisotropic Diffusion

      • Matthias Ghodstinat, Andrés Bruhn, Joachim Weickert
      Pages 91-106

  3. Human Motion Modeling

    1. Real-Time Synthesis of Body Movements Based on Learned Primitives

      • Martin A. Giese, Albert Mukovskiy, Aee-Ni Park, Lars Omlor, Jean-Jacques E. Slotine
      Pages 107-127

    2. 2D Human Pose Estimation in TV Shows

      • Vittorio Ferrari, Manuel Marín-Jiménez, Andrew Zisserman
      Pages 128-147

    3. Recognition and Synthesis of Human Movements by Parametric HMMs

      • Dennis Herzog, Volker Krüger
      Pages 148-168

    4. Recognizing Human Actions by Their Pose

      • Christian Thurau, Václav Hlaváč
      Pages 169-192

  4. Biological and Statistical Approaches

    1. View-Based Approaches to Spatial Representation in Human Vision

      • Andrew Glennerster, Miles E. Hansard, Andrew W. Fitzgibbon
      Pages 193-208

    2. Combination of Geometrical and Statistical Methods for Visual Navigation of Autonomous Robots

      • Naoya Ohnishi, Atsushi Imiya
      Pages 209-234

    3. Motion Integration Using Competitive Priors

      • Shuang Wu, Hongjing Lu, Alan Lee, Alan Yuille
      Pages 235-258

  5. Alternative Approaches to Motion Analysis

    1. Derivation of Motion Characteristics Using Affine Shape Adaptation for Moving Blobs

      • Jorge Sanchez, Reinhard Klette, Eduardo Destefanis
      Pages 259-279

    2. Comparison of Point and Line Features and Their Combination for Rigid Body Motion Estimation

      • Florian Pilz, Nicolas Pugeault, Norbert Krüger
      Pages 280-304

    3. The Conformal Monogenic Signal of Image Sequences

      • Lennart Wietzke, Gerald Sommer, Oliver Fleischmann, Christian Schmaltz
      Pages 305-322

  6. Back Matter

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Editors and Affiliations

  • Institut für Informatik III, Universität Bonn, Bonn, Germany

    Daniel Cremers, Frank R. Schmidt

  • Institut für Informationsverarbeitung, Leibniz Universität Hannover, Hannover, Germany

    Bodo Rosenhahn

  • Department of Statistics and Psychology, University of California - Los Angeles, Los Angeles, USA

    Alan L. Yuille

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