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 /

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)...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Vidal, Rene (Editor ), Heyden, Anders (Editor ), Ma, Yi (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 4358
Temas:
Computer vision.
Pattern recognition systems.
Computer graphics.
User interfaces (Computer systems).
Human-computer interaction.
Computer Vision.
Automated Pattern Recognition.
Computer Graphics.
User Interfaces and Human Computer Interaction.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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