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

Authors:
Kazuki Hoshiai;Shinya Fujie;Tetsunori Kobayashi
Affiliations:
Department of Computer Science and Engineering, Waseda University, Tokyo, Japan 169---8555;Waseda Institute for Advanced Study, Waseda University, Tokyo, Japan 169---8050;Department of Computer Science and Engineering, Waseda University, Tokyo, Japan 169---8555
Venue:
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Year:
2009

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Abstract

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.