Statistical and Geometrical Approaches to Visual Motion Analysis

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.

• 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

• 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

Policies and ethics