Publications

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication


Year(s) from:  to 
Author:
Keywords (separated by spaces):

Fast Body Posture Estimation using Volumetric Features

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

Abstract

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.


Download in pdf format
@InProceedings{eth_biwi_00527,
  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}
}