Human pose extraction from monocular videos using constrained non-rigid factorization
Date
2007
Authors
Shaji, A.
Siddiquie, B.
Chandran, S.
Suter, D.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
British Machine Vision Conference Proceedings, 2007
Statement of Responsibility
Appu Shaji, Behajt Siddiquie, Sharat Chandran and David Suter
Conference Name
British Machine Vision Conference (18th : 2007 : Warwick, UK)
DOI
Abstract
We focus on the problem of automatically extracting the 3D configuration of human poses from 2D image features tracked over a finite interval of time . This problem is highly non-linear in nature and confounds standard regression techniques. Our approach effectively marries a non-rigid factorization algorithm with prior learned statistical models from archival motion capture database. We show that a stand alone non-rigid factorization algorithm is highly unsuitable for this problem. However, when coupled with the learned statistical model in the form of a constrained non- linear programming method, it yields a substantially better solution.