@inbook {bAlcoverro10,
	title = {Skeleton and shape adjustment and tracking in multicamera environments},
	booktitle = {Lecture notes in computer science},
	volume = {6169/2010},
	year = {2010},
	pages = {88{\textendash}97},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin / Heidelberg},
	abstract = {<p>In this paper we present a method for automatic body model adjustment and motion tracking in multicamera environments. We introduce a set of shape deformation parameters based on linear blend skinning, that allow a deformation related to the scaling of the distinct bones of the body model skeleton, and a deformation in the radial direction of a bone. The adjustment of a generic body model to a specific subject is achieved by the estimation of those shape deformation parameters. This estimation combines a local optimization method and hierarchical particle filtering, and uses an efficient cost function based on foreground silhouettes using GPU. This estimation takes into account anthropometric constraints by using a rejection sampling method of propagation of particles. We propose a hierarchical particle filtering method for motion tracking using the adjusted model. We show accurate model adjustment and tracking for distinct subjects in a 5 cameras set up</p>},
	isbn = {978-3-642-14060-0},
	issn = {0302-9743},
	doi = {10.1007/978-3-642-14061-7_9},
	url = {http://www.springerlink.com/content/9662h2hwq81041g2/fulltext.pdf},
	author = {Alcoverro, M. and Casas, J. and M. Pard{\`a}s}
}
