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Statistical Methods in Video Processing

ECCV 2004 Workshop SMVP 2004, Prague, Czech Republic, May 16, 2004, Revised Selected Papers

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Dorin Comaniciu

    1. Integrated Data Systems Dept., Siemens Corporate Research, Princeton, USA

  2. Rudolf Mester

    1. Visual Sensorics and Information Processing Lab, J.W. Goethe University, Frankfurt, Germany

  3. Kenichi Kanatani

    1. Department of Computer Science, Okayama University, Okayama, Japan

  4. David Suter

    1. Institute for Vision Systems Engineering, Department of Electrical and Computer Systems Engineering, Monash University, Australia

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3247)

Included in the following conference series:

Conference proceedings info: SMVP 2004.

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About this book

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 presentation and included in these proceedings, following a double-blind review process. The workshop had 42 registered participants. The focus of the meeting was on recent progress in the application of - vanced statistical methods to solve computer vision tasks. The one-day scienti?c program covered areas of high interest in vision research, such as dense rec- struction of 3D scenes, multibody motion segmentation, 3D shape inference, errors-in-variables estimation, probabilistic tracking, information fusion, optical ?owcomputation,learningfornonstationaryvideodata,noveltydetectionin- namic backgrounds, background modeling, grouping using feature uncertainty, and crowd segmentation from video. We wish to thank the authors of all submitted papers for their interest in the workshop.Wealsowishtothankthemembersofourprogramcommitteeandthe external reviewers for their commitment of time and e?ort in providing valuable recommendations for each submission. We are thankful to Vaclav Hlavac, the General Chair of ECCV 2004, and to Radim Sara, for the local organization of the workshop and registration management. We hope you will ?nd these proceedings both inspiring and of high scienti?c quality.

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Table of contents (17 papers)

  1. Front Matter

    Download chapter PDF

  2. 3D Geometry

    1. Towards Complete Free-Form Reconstruction of Complex 3D Scenes from an Unordered Set of Uncalibrated Images

      • H. Cornelius, R. Šára, D. Martinec, T. Pajdla, O. Chum, J. Matas
      Pages 1-12

    2. Geometric Structure of Degeneracy for Multi-body Motion Segmentation

      • Yasuyuki Sugaya, Kenichi Kanatani
      Pages 13-25

    3. Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes

      • Kristen Grauman, Gregory Shakhnarovich, Trevor Darrell
      Pages 26-37

    4. Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis

      • Matthias Mühlich, Rudolf Mester
      Pages 38-49

  3. Tracking

    1. Probabilistic Tracking of the Soccer Ball

      • Kyuhyoung Choi, Yongdeuk Seo
      Pages 50-60

    2. Multi-Model Component-Based Tracking Using Robust Information Fusion

      • Bogdan Georgescu, Dorin Comaniciu, Tony X. Han, Xiang Sean Zhou
      Pages 61-70

    3. A Probabilistic Approach to Large Displacement Optical Flow and Occlusion Detection

      • Christoph Strecha, Rik Fransens, Luc Van Gool
      Pages 71-82

    4. Mean-Shift Blob Tracking with Kernel-Color Distribution Estimate and Adaptive Model Update Criterion

      • Ning-Song Peng, Jie Yang
      Pages 83-93

    5. Combining Simple Models to Approximate Complex Dynamics

      • Leonid Taycher, John W. Fisher III, Trevor Darrell
      Pages 94-104

  4. Background Modeling

    1. Online Adaptive Gaussian Mixture Learning for Video Applications

      • Dar-Shyang Lee
      Pages 105-116

    2. Novelty Detection in Image Sequences with Dynamic Background

      • Fredrik Kahl, Richard Hartley, Volker Hilsenstein
      Pages 117-128

    3. A Framework for Foreground Detection in Complex Environments

      • Junxian Wang, How-Lung Eng, Alvin H. Kam, Wei-Yun Yau
      Pages 129-140

    4. A Background Maintenance Model in the Spatial-Range Domain

      • Daniel Kottow, Mario Köppen, Javier Ruiz-del-Solar
      Pages 141-152

  5. Image/Video Analysis

    1. A New Robust Technique for Stabilizing Brightness Fluctuations in Image Sequences

      • François Pitié, Rozenn Dahyot, Francis Kelly, Anil Kokaram
      Pages 153-164

    2. Factorization of Natural 4 × 4 Patch Distributions

      • Kostadin Koroutchev, José R. Dorronsoro
      Pages 165-174

    3. Parametric and Non-parametric Methods for Linear Extraction

      • Benedicte Bascle, Xiang Gao, Visvanathan Ramesh
      Pages 175-186

    4. Crowd Segmentation Through Emergent Labeling

      • Peter H. Tu, Jens Rittscher
      Pages 187-198

  6. Back Matter

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Other volumes

  1. Statistical Methods in Video Processing

Editors and Affiliations

  • Integrated Data Systems Dept., Siemens Corporate Research, Princeton, USA

    Dorin Comaniciu

  • Visual Sensorics and Information Processing Lab, J.W. Goethe University, Frankfurt, Germany

    Rudolf Mester

  • Department of Computer Science, Okayama University, Okayama, Japan

    Kenichi Kanatani

  • Institute for Vision Systems Engineering, Department of Electrical and Computer Systems Engineering, Monash University, Australia

    David Suter

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