Statistical Methods in Video Processing ECCV 2004 Workshop SMVP 2004, Prague, Czech Republic, May 16, 2004, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Comaniciu, Dorin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kanatani, Kenichi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Mester, Rudolf (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Suter, David (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
• Έκδοση: 1st ed. 2004.
• Σειρά: Lecture Notes in Computer Science, 3247
• Θέματα: Optical data processing.; Computer graphics.; Pattern recognition.; Mathematical statistics.; Artificial intelligence.; Algorithms.; Image Processing and Computer Vision.; Computer Graphics.; Pattern Recognition.; Probability and Statistics in Computer Science.; Artificial Intelligence.; Algorithm Analysis and Problem Complexity.

The 2nd International Workshop on Statistical Methods in Video Processing, SMVP 2004, was held in Prague, Czech Republic, as an associated workshop of ECCV 2004, the 8th European Conference on Computer Vision. A total of 30 papers were submitted to the workshop. Of these, 17 papers were accepted for...

Πίνακας περιεχομένων:

• 3D Geometry
• Towards Complete Free-Form Reconstruction of Complex 3D Scenes from an Unordered Set of Uncalibrated Images
• Geometric Structure of Degeneracy for Multi-body Motion Segmentation
• Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes
• Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis
• Tracking
• Probabilistic Tracking of the Soccer Ball
• Multi-Model Component-Based Tracking Using Robust Information Fusion
• A Probabilistic Approach to Large Displacement Optical Flow and Occlusion Detection
• Mean-Shift Blob Tracking with Kernel-Color Distribution Estimate and Adaptive Model Update Criterion
• Combining Simple Models to Approximate Complex Dynamics
• Background Modeling
• Online Adaptive Gaussian Mixture Learning for Video Applications
• Novelty Detection in Image Sequences with Dynamic Background
• A Framework for Foreground Detection in Complex Environments
• A Background Maintenance Model in the Spatial-Range Domain
• Image/Video Analysis
• A New Robust Technique for Stabilizing Brightness Fluctuations in Image Sequences
• Factorization of Natural 4 × 4 Patch Distributions
• Parametric and Non-parametric Methods for Linear Extraction
• Crowd Segmentation Through Emergent Labeling.