Important Dates Submission deadline: July 1 (5pm your local time), 2005 Notification of acceptance: August 19, 2005 Camera ready: September 1, 2005 Workshop date: October 21, 2005
Accepted Papers Click here for Final Program 30 Layered Dynamic Textures 33 Robust 3D Segmentation of Multiple Moving Objects Under Weak Perspective 37 Force/Vision Based Active Damping Control of Contact Transition in Dynamic Environments 41 A Batch Algorithm For Implicit Non-Rigid Shape and Motion Recovery 43 Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching 52 Bayesian tracking with auxiliary discrete processes. Application to detection and tracking of objects with occlusions 55 Using a Connected Filter for Structure Estimation in Perspective Systems 57 Online Video Registration of Dynamic Scenes using Frame Prediction 58 Homeomorphic Manifold Analysis: Learning Decomposable Generative Models for Human Motion Analysis 61 A Rao-Blackwellized Parts-Constellation Tracker 64 Estimating the Pose of a 3D Sensor in a Non-Rigid Environment 65 View-invariant modeling and recognition of human actions using grammars 67 A Probabalistic Framework For Correspondence and Egomotion 70 Articulated Motion Segmentation Using RANSAC With Priors 71 Spatial Segmentation of Temporal Texture Using Mixture Linear Models 78 The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection Paper submission All paper submissions to ICCV Workshop on Dynamical Vision will be electronic. Submit a paper Enter reviews View reviews All papers must be submitted in Acrobat PDF format. All reviewing will be double blind, so the paper must not include any information which allows the authors to be identified. Papers that provide obvious identifying information will be rejected without review. See the Anonymity Guidelines for more details. A complete paper must be submitted in camera-ready format with no more than 8 pages in length. Papers accepted for the conference will be allocated 6 pages in the proceedings, with the option of purchasing up to 2 extra pages. Papers should be submitted in the length and format intended for final publication. Specifically, submitted papers should have a maximum of 8 pages and should adhere to the formatting guidelines below. Papers with more than 8 pages will be rejected without review. The paper format must follow the standard IEEE 2-column format of single-spaced text in 10 point Times Roman (or closely resembling), with 12 point interline space. All printed material, including illustrations, must be kept within a print area of 6-7/8 inches (17.5 cm) wide by 8-7/8 inches (22.5 cm) high. We ask that you do not deviate from these guidelines since this will be a cause for paper rejection without review. A simple LaTex Template may assist you in meeting this format.
Call for Papers Classical multiple-view geometry studies the reconstruction of a static scene observed by a rigidly moving camerae. Many real-world applications however require the modeling and reconstruction of a scene that has much more complex dynamics. That is, the scene may consist of multiple moving objects (e.g., a traffic scene) or articulate motions (e.g., a walking human) or even non-rigid dynamics (e.g., smoke, fire, waterfall). To study the problems of reconstructing different dynamical scenes, many new algebraic, geometric, statistical, and computational tools have recently emerged in computer vision, computer graphics, image processing, and vision-based control. The goal of this workshop is to converge different aspects of the research on dynamical vision and identify common mathematical problems, models, and methods for future research in this emerging new topic. The workshop welcomes papers that fall into the following categories: Segmentation, Estimation & Tracking of Multiple Rigid-body Motions. Based on Optical Flows or Image Gradients Based on Feature Correspondences Integrated Approaches and Hybrid Motion Models Segmentation, Estimation & Tracking of Articulate and/or Non-Rigid Motions. Human Motions Non-Rigid Motions and Deformations Identification and Recognition of of Dynamical Scenes from Videos. Dynamical Textures Video Segmentation Mathematical Tools for Model, Analysis, and Synthesis of Dynamical Scenes Subspace Methods and High-Order Tensors Dynamical Systems Stochastic Models (e.g. Hidden Markov Models) Applications of Dynamical Vision (e.g., Surveillance, Graphics, and Robotics). Visual Servoing and Vision-Based Control & Navigation Localization and Mapping
Organizers
Prof. Anders Heyden Department of Mathematics, Lund University and Malmo University, Sweden Email: heyden@ts.mah.se	Prof. Yi Ma Department of Electrical & Computer Engineering University of Illinois at Urbana Champaign, USA Email: yima@uiuc.edu	Prof. René Vidal Department of Biomedical Engineering Johns Hopkins University, USA Email: rvidal@cis.jhu.edu
Program Committee
Yiannis Aloimonos Serge Belongie Noah Cowan Kostas Daniilidis Ahmed Elgammal Ruggero Frezza Bijoy Ghosh Greg Hager Richard Hartley Kun Huang Joao Hespanha Rolf Johansson Fredrik Kahl Kenichi Kanatani Jana Kosecka Nemanja Petrovic Marc Pollefeys Shankar Sastry Stefano Soatto Harry Shum Peter Sturm Ying Wu Jie Zhou	University of Maryland at College Park University of California at San Diego Johns Hopkins University University of Pennsylvania Rutgers University University of Padova, Italy Washington University at St. Louis Johns Hopkins University Australia National University, Australia Ohio State University University of California at Santa Barbara Lund University, Sweden Lund University, Sweden Okayama University, Japan George Mason University Siemens Corporate Research, Princeton University of North Carolina at Chapel Hill University of California at Berkeley University of California at Los Angeles Microsoft Research in Asia, China INRIA Rhône-Alpes, France Northwestern University Tsinghua University, China
Final Program (TBA)
Sponsors (TBA)