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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture
verfasst von : C. Canton-Ferrer, J. R. Casas, M. Pardàs
Erschienen in: Articulated Motion and Deformable Objects
Verlag: Springer Berlin Heidelberg
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This paper presents a general analysis framework towards exploiting the underlying hierarchical and scalable structure of an articulated object for pose estimation and tracking. The Scalable Human Body Model (SHBM) is presented as a set of human body models ordered following a hierarchy criteria. The concept of annealing is applied to derive a generic particle filtering scheme able to perform a sequential filtering over the models contained in the SHBM leading to a
structural annealing
process. This scheme is applied to perform human motion capture in a multi-camera environment. Finally, the effectiveness of the proposed system is addressed by comparing its performance with the standard and annealed particle filtering approaches over an annotated database.