AISB event Bulletin Item
CFP: ICCV'07 Workshop on Dynamical Vision
ICCV'07 Workshop on Dynamical Vision Oct 20, 2007, Rio de Janeiro, Brazil http://vision.jhu.edu/iccv2007-wdv/ The classical multiple-view geometry studies the case with a moving camera viewing a static scene. 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: a. 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 b. Segmentation, Estimation, Tracking of Articulate and/or Non-Rigid Motions. - Human Motions - Non-Rigid Motions c. Identification and Recognition of Dynamical Scenes from Videos. - Dynamical Textures - Video Segmentation d. Mathematical Tools for Modeling, Analysis, and Synthesis of Dynamical Scenes. - Subspace Methods and High-Order Tensors - Dynamical Systems - Stochastic Models (e.g. Hidden Markov Models) e. Applications of Dynamical Vision (e.g., Surveillance, Graphics, and Robotics, etc.) - Visual Servoing and Vision-Based Control & Navigation - Localization and Mapping Submission Guidelines: Please submit your paper by midnight (your local time) May 25, 2007 in PDF format via the web-based submission link soon to be given at: http://vision.jhu.edu/iccv2007-wdv/ (Email submission can be offered as an alternative upon early request by the authors). Paper should not exceed 8 pages in IEEE format (the standard ICCV or CVPR style). All submissions are subject to a double-blind review process by the program committee. Therefore, the papers should be strictly anonymous. In the submission email, please provide the following info (for the organizers only): 1. Title of your paper: 2. Authors and their affiliations 3. Contact info (email, phone, fax) of the corresponding author(s).