@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 = {<p>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.</p>},
	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}
}
