Statistical methods in video processing : ECCV 2004 workshop SMVP 2004, Prague, Czech Republic, may 16, 2004 : revised selected papers
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...
Bewaard in:
| Coauteurs: | , |
|---|---|
| Andere auteurs: | , , |
| Formaat: | Livre numérique |
| Taal: | Anglais |
| Gepubliceerd in: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Reeks: | Lecture notes in computer science
3247 |
| Onderwerpen: | |
| Online toegang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Opmerking: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistical methods in video processing, ECCV 2004 workshop SMVP 2004, Prague, Czech Republic, may 16, 2004, revised selected papers, Dorin Comaniciu, Kenichi Kanatani, Rudolf Mester...[et al.](eds.), Berlin, Springer, 2004, 1 vol. (VIII-198 p.), Lecture notes in computer science, 3-540-23989-8 • Statistical Methods in Video Processing, Texte imprimé, 9783662178058 |
Inhoudsopgave:
- 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.