@inbook {bCanton-Ferrer08a, title = {Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture}, booktitle = {Articulated Motion and Deformable Objects}, volume = {5098}, year = {2008}, pages = {82{\textendash}91}, publisher = {Springer}, organization = {Springer}, address = {Berlin / Heidelberg}, abstract = {
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.
}, isbn = {978-3-540-70516-1}, doi = {10.1007/978-3-540-70517-8_9}, author = {Cristian Canton-Ferrer and Casas, J. and M. Pard{\`a}s} }