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Proceedings Paper

Modeling human bodies from video sequences
Author(s): Nicola D'Apuzzo; Ralph Plaenkers; Pascal Fua; Armin Gruen; Daniel Thalmann
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Paper Abstract

In this paper, we show that, given video sequences of a moving person acquired with a multi-camera system, we can track joint locations during the movement and recover shape information. We outline techniques for fitting a simplified model to the noisy 3-D data extracted from the images and a new tracking process based on least squares matching is presented. The recovered shape and motion parameters can be used to either reconstruct the original sequence or to allow other animation models to mimic the subject's actions. Our ultimate goal is to automate the process of building complete and realistic animation models of humans, given a set of video sequences.

Paper Details

Date Published: 14 December 1998
PDF: 12 pages
Proc. SPIE 3641, Videometrics VI, (14 December 1998); doi: 10.1117/12.333796
Show Author Affiliations
Nicola D'Apuzzo, Swiss Federal Institute of Technology (Switzerland)
Ralph Plaenkers, Swiss Federal Institute of Technology (Switzerland)
Pascal Fua, Swiss Federal Institute of Technology (Switzerland)
Armin Gruen, Swiss Federal Institute of Technology (Switzerland)
Daniel Thalmann, Swiss Federal Institute of Technology (Switzerland)

Published in SPIE Proceedings Vol. 3641:
Videometrics VI
Sabry F. El-Hakim; Armin Gruen, Editor(s)

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