Using an avatar to develop a system for the predication of human body pose from moments

Authors:
Song Hu;Bernard F. Buxton
Affiliations:
Department of Computer Science, University College London, London, UK;Department of Computer Science, University College London, London, UK
Venue:
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Year:
2005

Citing 3
Cited 0

Fundamentals of digital image processing

Fundamentals of digital image processing
Numerical recipes in C (2nd ed.): the art of scientific computing

Numerical recipes in C (2nd ed.): the art of scientific computing
Inferring 3D Structure with a Statistical Image-Based Shape Model

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2

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Abstract

Tracking people using movie sequences is not straightforward because of the human body’s articulation and the complexity of a person’s movements. In this paper we show how a person’s 3D pose can be reconstructed by using corresponding silhouettes of video sequences from a monocular view. Currently, a virtual avatar is used to train the model for inferring the pose and a different avatar is used to produce novel examples not in the training set in order to evaluate the approach. The approach was subsequently tested using the silhouettes of walking people.