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E-raamat: Statistical and Geometrical Approaches to Visual Motion Analysis: International Dagstuhl Seminar, Dagstuhl Castle, July 13-18, 2008, Revised Papers

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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 suchasobstacledetection,depthestimation,videoanalysis,sceneinterpretation, videocompressionandotherapplications. Motionanalysisis unsolvedbecauseit requires modeling of the complicated relationships between the observed image data and the motion of objects and motion patterns (e. g. , falling rain) in the visual scene. The Dagstuhl Seminar 08291 on Statistical and Geometrical Approaches to Visual Motion Analysis was held during July 13-18, 2008 at the International Conference and Research Center (IBFI), Schloss Dagstuhl, near Wadern in G- many. The workshop focused on critical aspects of motion analysis, including motion segmentation, the modeling of motion patterns and the di erent te- niques used. These techniques include variationalapproaches,level set methods, probabilistic models, graph cut approaches, factorization techniques, and neural networks. All these techniques can be subsumed within statistical and geomet- cal frameworks. We further involved experts in the study of human and primate vision. Primatevisualsystemsareextremely sophisticatedat processingmotion, thus there is much to be learnt from studying them. In particular, we discussed how to relate the computational models of primate visual systems to those - veloped for machine vision. In total, 15 papers were accepted for these proceedings after the workshop. We werecarefulto ensurea high standardof qualityfor the accepted papers. All submissions were double-blind reviewed by at least two experts.
Optical Flow and Extensions
Discrete-Continuous Optimization for Optical Flow Estimation
1(22)
Stefan Roth
Victor Lempitsky
Carsten Rother
An Improved Algorithm for TV-L1 Optical Flow
23(23)
Andreas Wedel
Thomas Pock
Christopher Zach
Horst Bischof
Daniel Cremers
An Evaluation Approach for Scene Flow with Decoupled Motion and Position
46(24)
Andreas Wedel
Tobi Vaudrey
Annemarie Meissner
Clemens Rabe
Thomas Brox
Uwe Franke
Daniel Cremers
An Affine Optical Flow Model for Dynamic Surface Reconstruction
70(21)
Tobias Schuchert
Hanno Scharr
Deinterlacing with Motion-Compensated Anisotropic Diffusion
91(16)
Matthias Ghodstinat
Andres Bruhn
Joachim Weickert
Human Motion Modeling
Real-Time Synthesis of Body Movements Based on Learned Primitives
107(21)
Martin A. Giese
Albert Mukovskiy
Aee-Ni Park
Lars Omlor
Jean-Jacques E. Slotine
2D Human Pose Estimation in TV Shows
128(20)
Vittorio Ferrari
Manuel Marin-Jimenez
Andrew Zisserman
Recognition and Synthesis of Human Movements by Parametric HMMs
148(21)
Dennis Herzog
Volker Kruger
Recognizing Human Actions by Their Pose
169(24)
Christian Thurau
Vaclav Hlavac
Biological and Statistical Approaches
View-Based Approaches to Spatial Representation in Human Vision
193(16)
Andrew Glennerster
Miles E. Hansard
Andrew W. Fitzgibbon
Combination of Geometrical and Statistical Methods for Visual Navigation of Autonomous Robots
209(26)
Naoya Ohnishi
Atsushi Imiya
Motion Integration Using Competitive Priors
235(24)
Shuang Wu
Hongjing Lu
Alan Lee
Alan Yuille
Alternative Approaches to Motion Analysis
Derivation of Motion Characteristics Using Affine Shape Adaptation for Moving Blobs
259(21)
Jorge Sanchez
Reinhard Klette
Eduardo Destefanis
Comparison of Point and Line Features and Their Combination for Rigid Body Motion Estimation
280(25)
Florian Pilz
Nicolas Pugeault
Norbert Kruger
The Conformal Monogenic Signal of Image Sequences
305(18)
Lennart Wietzke
Gerald Sommer
Oliver Fleischmann
Christian Schmaltz
About Index 323