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Pattern Recognition

30th DAGM Symposium Munich, Germany, June 10-13, 2008 Proceedings

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Gerhard Rigoll
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5096)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: DAGM 2008.

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About this book

This book constitutes the refereed proceedings of the 30th Symposium of the German Association for Pattern Recognition, DAGM 2008, held in Munich, Germany, in June 2008. The 53 revised full papers were carefully reviewed and selected from 136 submissions. The papers are organized in topical sections on learning and classification, tracking, medical image processing and segmentation, audio, speech and handwriting recognition, multiview geometry and 3D-reconstruction, motion and matching, and image analysis.

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Table of contents (53 papers)

  1. Front Matter

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  2. Learning and Classification

    1. MAP-Inference for Highly-Connected Graphs with DC-Programming

      • Jörg Kappes, Christoph Schnörr
      Pages 1-10

    2. Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation

      • Filip Korč, Wolfgang Förstner
      Pages 11-20

    3. Simple Incremental One-Class Support Vector Classification

      • Kai Labusch, Fabian Timm, Thomas Martinetz
      Pages 21-30

    4. A Multiple Kernel Learning Approach to Joint Multi-class Object Detection

      • Christoph H. Lampert, Matthew B. Blaschko
      Pages 31-40

    5. Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields

      • Kersten Petersen, Janis Fehr, Hans Burkhardt
      Pages 41-50

    6. Boosting for Model-Based Data Clustering

      • Amir Saffari, Horst Bischof
      Pages 51-60

    7. Improving the Run-Time Performance of Multi-class Support Vector Machines

      • Andrey Sluzhivoy, Josef Pauli, Volker Rölke, Anastasia Noglik
      Pages 61-70

    8. Sliding-Windows for Rapid Object Class Localization: A Parallel Technique

      • Christian Wojek, Gyuri Dorkó, André Schulz, Bernt Schiele
      Pages 71-81

    9. A Performance Evaluation of Single and Multi-feature People Detection

      • Christian Wojek, Bernt Schiele
      Pages 82-91

  3. Tracking

    1. Model-Based Motion Capture for Crash Test Video Analysis

      • Juergen Gall, Bodo Rosenhahn, Stefan Gehrig, Hans-Peter Seidel
      Pages 92-101

    2. Efficient Tracking as Linear Program on Weak Binary Classifiers

      • Michael Grabner, Christopher Zach, Horst Bischof
      Pages 102-111

    3. A Comparison of Region Detectors for Tracking

      • Andreas Haja, Steffen Abraham, Bernd Jähne
      Pages 112-121

    4. Combining Densely Sampled Form and Motion for Human Action Recognition

      • Konrad Schindler, Luc van Gool
      Pages 122-131

    5. Recognition and Tracking of 3D Objects

      • Christian Wiedemann, Markus Ulrich, Carsten Steger
      Pages 132-141

  4. Medical Image Processing and Segmentation

    1. Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification

      • Björn Andres, Ullrich Köthe, Moritz Helmstaedter, Winfried Denk, Fred A. Hamprecht
      Pages 142-152

    2. Real-Time Neighborhood Based Disparity Estimation Incorporating Temporal Evidence

      • Bogumil Bartczak, Daniel Jung, Reinhard Koch
      Pages 153-162

    3. A Novel Approach for Detection of Tubular Objects and Its Application to Medical Image Analysis

      • Christian Bauer, Horst Bischof
      Pages 163-172

    4. Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma

      • Thomas J. Fuchs, Tilman Lange, Peter J. Wild, Holger Moch, Joachim M. Buhmann
      Pages 173-182

    5. A Probabilistic Segmentation Scheme

      • Dmitrij Schlesinger, Boris Flach
      Pages 183-192
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