Title: Real-time body pose recognition using 2D or 3D haarlets
Authors: Van den Bergh, Michael ×
Koller-Meier, Esther
Van Gool, Luc #
Issue Date: Jun-2009
Publisher: Kluwer Academic Publishers
Series Title: International Journal of Computer Vision vol:83 issue:1 pages:72-84
Abstract: This article presents a novel approach to markerless real-time pose recognition in a multicamera setup. Body pose is retrieved using example-based classification based on Haar wavelet-like features to allow for real-time pose recognition. Average Neighborhood Margin Maximization (ANMM) is introduced as a powerful new technique to train Haar-like features. The rotation invariant approach is implemented for both 2D classification based on silhouettes, and 3D classification based on visual hulls.
Description: Van den Bergh M., Koller-Meier E., Van Gool L., ''Real-time body pose recognition using 2D or 3D haarlets'', International journal of computer vision, vol. 83, no. 1, pp. 72-84, June 2009.
ISSN: 0920-5691
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - PSI, Processing Speech and Images
× corresponding author
# (joint) last author

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