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Real-time 3D Body Pose Estimation

Michael Van den Bergh, Roland Kehl, Esther Koller-Meier, Luc Van Gool
Multi-Camera Networks: Concepts and Applications
Hamid Aghajan, Andrea Cavallaro, Ed.


This chapter presents a novel approach to markerless real-time 3D pose estimation in a multi camera setup. We explain how foreground-background segmentation and 3D reconstruction are used to extract a 3D hull of the user. This is done in real-time using voxel carving and a fixed lookup table. The body pose is then retrieved using an example-based classifier which uses 3D Haar-like wavelet features to allow for real-time classification. Average Neighborhood Margin Maximization (ANMM) is introduced as a powerful approach to train these Haar-like features.

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  title = {Real-time 3D Body Pose Estimation},
  booktitle = {Multi-Camera Networks: Concepts and Applications},
  pages = {335-360},
  year = {2009},
  publisher = {ELSEVIER},
  keywords = {multi-camera networks, Pose Estimation, Markerless, Real-Time, Visual Hull, 3D Haar-like }