@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 = {

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

}, 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} }