Upper-Body Contour Extraction Using Face and Body Shape Variance Information

  • Kazuki Hoshiai
  • Shinya Fujie
  • Tetsunori Kobayashi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5414)


We propose a fitting method using a model that integrates face and body shape variance information for upper-body contour extraction. Accurate body-contour extraction is necessary for various applications, such as pose estimation, gesture recognition, and so on. In this study, we regard it as the shape model fitting problem. A model including shape variance information can fit to the contour robustly even in the noisy case. AAMs are one of these models and can fit to a face successfully. It needs appearance information for effective fitting, but it can not be used in our case because appearance of upper-body easily changes by clothes. Instead of intensity image, proposed method uses edge image as appearance information. However, discrimination between a true contour edge of upper-body and other edges is difficult. To solve this problem, we integrate shapes of upper-body and face. It is expected that this integrated model is more robust to edges in clutter background and various locations of the body than a body shape model using only body shape information. We conduct experiments and confirm improvement in accuracy by integration of face and body variance information.


Contour extraction Active Appearance Models Active Body Shape Models Active Integrated Shape Models 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Kazuki Hoshiai
    • 1
  • Shinya Fujie
    • 2
  • Tetsunori Kobayashi
    • 1
  1. 1.Department of Computer Science and EngineeringWaseda UniversityTokyoJapan
  2. 2.Waseda Institute for Advanced StudyWaseda UniversityTokyoJapan

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