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Fast Body Posture Estimation using Volumetric Features

Van den Bergh Michael, Koller-Meier Esther, Van Gool Luc
IEEE Visual Motion Computing (MOTION)
January 2008


This paper presents a novel approach to real-time pose recognition using Haar-like features. First, Linear Discriminant Analysis (LDA) is introduced as a powerful new approach to train Haar-like features. The LDA-based method is compared to AdaBoost, and proven to be more efficient and requiring less Haar-like features to successfully complete the pose classification task. The weakened memory requirements with regards to AdaBoost allow for a straightforward extension to a 3D pose detector based on 3D Haar-like features, resulting in a rotation-invariant pose detection system.

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  author = {Van den Bergh Michael and Koller-Meier Esther and Van Gool Luc},
  title = {Fast Body Posture Estimation using Volumetric Features},
  booktitle = {IEEE Visual Motion Computing (MOTION)},
  year = {2008},
  month = {January},
  keywords = {Haarlets, LDA, pose estimation, 3D, hull reconstruction}