This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Abstract. In our research we are studying how to combine modelling, metamodelling, and reflection to systematically generate middleware configurations that can be targeted at diffe...
Nelly Bencomo, Gordon S. Blair, Geoff Coulson, Tha...
Self-organized and ad hoc communications have many fundamental principles in common and also face similar problems in the domains of security and Quality of Service. Trust manageme...
Vassileios Tsetsos, Giannis F. Marias, Sarantis Pa...
Over the past few years, we are experiencing a surge of evolution problems related to legacy object-oriented systems. Object orientation provides means for systems to be well-desi...
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...