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Abstract

High-quality non-intrusive human motion capture is necessary for acquistion
of model-based free-viewpoint video of human actors.
Silhouette-based approaches have demonstrated that they are able to
accurately recover a large range of human motion from multi-view video.
However, they fail to make use of all available information, specifically that
of texture information. This paper presents an algorithm
that uses motion fields constructed from optical flow in multi-view video
sequences.

The use of motion fields augments the silhoutte-based method by incorporating
texture-information into the tracking process.
The algorithm is a key-component in a larger free-viewpoint video system of
human actors.
Our results demonstrate that our method accurately estimates pose parameters
and allows for realistic texture generation in 3D video sequences.