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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.
CitationAlcoverro, M.; Casas, J.; Pardas, M. Skeleton and shape adjustment and tracking in multicamera environments. "Lecture notes in computer science", Juliol 2010, vol. 6169/2010, p. 88-97.
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