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Human Motion - Understanding, Modeling, Capture and Animation

Second Workshop, HumanMotion 2007, Rio de Janeiro, Brazil, October 20, 2007, Proceedings

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Ahmed Elgammal
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  2. Bodo Rosenhahn
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  3. Reinhard Klette
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4814)

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

Included in the following conference series:

Conference proceedings info: HuMo 2007.

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Table of contents (22 papers)

  1. Front Matter

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  2. Motion Capture and Pose Estimation

    1. Marker-Less 3D Feature Tracking for Mesh-Based Human Motion Capture

      • Edilson de Aguiar, Christian Theobalt, Carsten Stoll, Hans-Peter Seidel
      Pages 1-15

    2. Boosted Multiple Deformable Trees for Parsing Human Poses

      • Yang Wang, Greg Mori
      Pages 16-27

    3. Gradient-Enhanced Particle Filter for Vision-Based Motion Capture

      • Daniel Grest, Volker Krüger
      Pages 28-41

    4. Multi-activity Tracking in LLE Body Pose Space

      • Tobias Jaeggli, Esther Koller-Meier, Luc Van Gool
      Pages 42-57

    5. Exploiting Spatio-temporal Constraints for Robust 2D Pose Tracking

      • Grégory Rogez, Ignasi Rius, Jesús Martínez-del-Rincón, Carlos Orrite
      Pages 58-73

    6. Efficient Upper Body Pose Estimation from a Single Image or a Sequence

      • Matheen Siddiqui, Gérard Medioni
      Pages 74-87

    7. Real-Time and Markerless 3D Human Motion Capture Using Multiple Views

      • Brice Michoud, Erwan Guillou, Saïda Bouakaz
      Pages 88-103

    8. Modeling Human Locomotion with Topologically Constrained Latent Variable Models

      • Raquel Urtasun, David J. Fleet, Neil D. Lawrence
      Pages 104-118

    9. Silhouette Based Generic Model Adaptation for Marker-Less Motion Capturing

      • Martin Sunkel, Bodo Rosenhahn, Hans-Peter Seidel
      Pages 119-135

  3. Body and Limb Tracking and Segmentation

    1. 3D Hand Tracking in a Stochastic Approximation Setting

      • Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph
      Pages 136-151

    2. Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking

      • Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-Peter Seidel
      Pages 152-165

    3. Multi Person Tracking Within Crowded Scenes

      • Andrew Gilbert, Richard Bowden
      Pages 166-179

    4. Joint Appearance and Deformable Shape for Nonparametric Segmentation

      • Sylvain Boltz, Éric Debreuve, Michel Barlaud
      Pages 180-195

    5. Robust Spectral 3D-Bodypart Segmentation Along Time

      • Fabio Cuzzolin, Diana Mateus, Edmond Boyer, Radu Horaud
      Pages 196-211

    6. Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking

      • Bingbing Ni, Stefan Winkler, Ashraf Kassim
      Pages 212-224

    7. An Ease-of-Use Stereo-Based Particle Filter for Tracking Under Occlusion

      • Ser-Nam Lim, Larry Davis
      Pages 225-239

  4. Activity Recognition

    1. Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition

      • Yang Wang, Payam Sabzmeydani, Greg Mori
      Pages 240-254

    2. Recognizing Activities with Multiple Cues

      • Rahul Biswas, Sebastian Thrun, Kikuo Fujimura
      Pages 255-270

    3. Human Action Recognition Using Distribution of Oriented Rectangular Patches

      • Nazlı Ä°kizler, Pınar Duygulu
      Pages 271-284
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Other volumes

  1. Human Motion – Understanding, Modeling, Capture and Animation

Keywords

About this book

This LNCS volume contains the papers presented at the second Workshop on Human Motion Understanding, Modeling, Capture and Animation, which took place on October 20th, 2007, accompanying the 11th IEEE International C- ference on Computer Vision in Rio de Janeiro, Brazil. In total, 38 papers were submitted to this workshop,of which 22 papers were accepted. We were careful to ensure a high standard of quality when selecting the papers. All submissions were double-blind reviewed by at least two experts. Out of the 22 accepted papers, 10 were selected for oral presentation and 12 for posters. We thank the authors of the accepted papers for taking the reviewers’ comments into account in the ?nal published versions of their papers. We thank all of the authors who submitted their work, and we trust that the reviewers’ comments have been of value for their research activities. The accepted papers re?ect the state of the art in the ?eld and cover various topicsrelatedto humanmotiontrackingandanalysis.Thepapersinthisvolume have been classi?ed into three categories based on the topics they cover: human motion capture and pose estimation, body and limb tracking and segmentation, and activity recognition.

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