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Manifolds for pose tracking from monocular video

[+] Author Affiliations
Saurav Basu

University of Virginia, Charles L. Brown Department of Electrical and Computer Engineering, PO Box 400743, Charlottesville, Virginia 22904, United States

IBM Research, Plot No. 4, Block C, Institutional Area, Vasant Kunj, New Delhi, Delhi 110070, India

Joshua Poulin

Hanscom Air Force Base, Laurence G. Hanscom Field, 1641 Barksdale Street, Bedford, Massachusetts 01731, United States

Scott T. Acton

University of Virginia, Charles L. Brown Department of Electrical and Computer Engineering, PO Box 400743, Charlottesville, Virginia 22904, United States

J. Electron. Imaging. 24(2), 023014 (Mar 18, 2015). doi:10.1117/1.JEI.24.2.023014
History: Received May 22, 2014; Accepted February 2, 2015
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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).

© 2015 SPIE and IS&T

Topics

Cameras ; Video

Citation

Saurav Basu ; Joshua Poulin and Scott T. Acton
"Manifolds for pose tracking from monocular video", J. Electron. Imaging. 24(2), 023014 (Mar 18, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.2.023014


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