We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
Realizing high volume of data transmission in real time communication in a highly dynamic architecture like Mobile Ad hoc Networks (MANET) still remains a major point of research....
Romit Roy Choudhury, Krishna Paul, Somprakash Band...
The ability to compute the differences that exist between two RDF models is an important step to cope with the evolving nature of the Semantic Web (SW). In particular, RDF Deltas c...
This paper deals with video segmentation based on motion and spatial information. Classically, the motion term is based on a motion compensation error (MCE) between two consecutiv...
Sylvain Boltz, Ariane Herbulot, Eric Debreuve, Mic...
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...