Human Motion - Understanding, Modeling, Capture and Animation

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 İkizler, Pınar Duygulu

      Pages 271-284

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.

• 3D
• Animation
• ICCV
• Moment
• Stereo
• anatomically correct modeling
• cognition
• deformable modeling
• human motion patterns
• learning
• pose estimation
• rendering
• self occlusion handling
• surface morphing
• surface representations

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