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Journal of Electronic Imaging

Manifolds for pose tracking from monocular video
Author(s): Saurav Basu; Joshua Poulin; Scott T. Acton
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Paper Abstract

We formulate a simple human-pose tracking theory from monocular video based on the fundamental relationship between changes in pose and image motion vectors. We investigate the natural embedding of the low-dimensional body pose space into a high-dimensional space of body configurations that behaves locally in a linear manner. The embedded manifold facilitates the decomposition of the image motion vectors into basis motion vector fields of the tangent space to the manifold. This approach benefits from the style invariance of image motion flow vectors, and experiments to validate the fundamental theory show reasonable accuracy (within 4.9 deg of the ground truth).

Paper Details

Date Published: 18 March 2015
PDF: 21 pages
J. Electron. Imaging. 24(2) 023014 doi: 10.1117/1.JEI.24.2.023014
Published in: Journal of Electronic Imaging Volume 24, Issue 2
Show Author Affiliations
Saurav Basu, Univ. of Virginia (United States)
IBM Research (India)
Joshua Poulin, Hanscom Air Force Base (United States)
Scott T. Acton, Univ. of Virginia (United States)


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