Statistical and Geometrical Approaches to Visual Motion Analysis

Optical Flow and Extensions.- Discrete-Continuous Optimization for Optical Flow Estimation.- An Improved Algorithm for TV-L 1 Optical Flow.- An Evaluation Approach for Scene Flow with Decoupled Motion and Position.- An Affine Optical Flow Model for Dynamic Surface Reconstruction.- Deinterlacing with Motion-Compensated Anisotropic Diffusion.- Human Motion Modeling.- Real-Time Synthesis of Body Movements Based on Learned Primitives.- 2D Human Pose Estimation in TV Shows.- Recognition and Synthesis of Human Movements by Parametric HMMs.- Recognizing Human Actions by Their Pose.- Biological and Statistical Approaches.- View-Based Approaches to Spatial Representation in Human Vision.- Combination of Geometrical and Statistical Methods for Visual Navigation of Autonomous Robots.- Motion Integration Using Competitive Priors.- Alternative Approaches to Motion Analysis.- Derivation of Motion Characteristics Using Affine Shape Adaptation for Moving Blobs.- Comparison of Point and Line Features and Their Combination for Rigid Body Motion Estimation.- The Conformal Monogenic Signal of Image Sequences.