18 March 2015 Manifolds for pose tracking from monocular video
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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
Saurav Basu, Joshua Poulin, Scott T. Acton, "Manifolds for pose tracking from monocular video," Journal of Electronic Imaging 24(2), 023014 (18 March 2015). https://doi.org/10.1117/1.JEI.24.2.023014 . Submission:
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