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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

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

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Conference proceedings info: SMVP 2004.

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Table of contents (17 papers)

  1. 3D Geometry

  2. Tracking

  3. Background Modeling

  4. Image/Video Analysis

Other volumes

  1. Statistical Methods in Video Processing

Keywords

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.

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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