Dynamical Vision : ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006, Revised Papers / edited by Rene Vidal, Anders Heyden, Yi Ma.

Format:

Book

Contributor:

Vidal, René, editor.

Heyden, Anders, editor.

Ma, Yi, 1972- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 4358.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 4358

Language:

English

Subjects (All):

Optical data processing.

Pattern perception.

Computer graphics.

User interfaces (Computer systems).

Image Processing and Computer Vision.

Pattern Recognition.

Computer Graphics.

User Interfaces and Human Computer Interaction.

Local Subjects:

Image Processing and Computer Vision.

Pattern Recognition.

Computer Graphics.

User Interfaces and Human Computer Interaction.

Physical Description:

1 online resource (IX, 329 pages).

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Summary:

Classical multiple-view geometry studies the reconstruction of a static scene - served by a rigidly moving camera. However, in many real-world applications the scene may undergo much more complex dynamical changes. For instance, the scene may consist of multiple moving objects (e.g., a tra?c scene) or arti- lated motions (e.g., a walking human) or even non-rigid dynamics (e.g., smoke, ?re, or a waterfall). In addition, some applications may require interaction with the scene through a dynamical system (e.g., vision-guided robot navigation and coordination). To study the problem of reconstructing dynamical scenes, many new al- braic, geometric, statistical, and computational tools have recently emerged in computer vision, computer graphics, image processing, and vision-based c- trol. The goal of the International Workshop on Dynamical Vision (WDV) is to converge di?erent aspects of the research on dynamical vision and to identify common mathematical problems, models, and methods for future research in this emerging and active area.

Contents:

Motion Segmentation and Estimation

The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection

Direct Segmentation of Multiple 2-D Motion Models of Different Types

Motion Segmentation Using an Occlusion Detector

Robust 3D Segmentation of Multiple Moving Objects Under Weak Perspective

Nonparametric Estimation of Multiple Structures with Outliers

Human Motion Analysis, Tracking and Recognition

Articulated Motion Segmentation Using RANSAC with Priors

Articulated-Body Tracking Through Anisotropic Edge Detection

Homeomorphic Manifold Analysis: Learning Decomposable Generative Models for Human Motion Analysis

View-Invariant Modeling and Recognition of Human Actions Using Grammars

Dynamic Textures

Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets

Spatial Segmentation of Temporal Texture Using Mixture Linear Models

Online Video Registration of Dynamic Scenes Using Frame Prediction

Dynamic Texture Recognition Using Volume Local Binary Patterns

Motion Tracking

A Rao-Blackwellized Parts-Constellation Tracker

Bayesian Tracking with Auxiliary Discrete Processes. Application to Detection and Tracking of Objects with Occlusions

Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching

Real-Time Tracking with Classifiers

Rigid and Non-rigid Motion Analysis

A Probabilistic Framework for Correspondence and Egomotion

Estimating the Pose of a 3D Sensor in a Non-rigid Environment

A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery

Motion Filtering and Vision-Based Control

Using a Connected Filter for Structure Estimation in Perspective Systems

Recursive Structure from Motion Using Hybrid Matching Constraints with Error Feedback

Force/Vision Based Active Damping Control of Contact Transition in Dynamic Environments

Segmentation and Guidance of Multiple Rigid Objects for Intra-operative Endoscopic Vision.

Other Format:

Printed edition:

ISBN:

978-3-540-70932-9

9783540709329

Access Restriction:

Restricted for use by site license.