We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
We present work in the spatio-temporal-thematic analysis of citizen-sensor observations pertaining to real-world events. Using Twitter as a platform for obtaining crowd-sourced obs...
Meenakshi Nagarajan, Karthik Gomadam, Amit P. Shet...
— This work deals with the control by vision of the Gough-Stewart platform. For that, a central catadioptric camera is used to observe the platform legs. This allows to obtain a ...
Omar Tahri, Youcef Mezouar, Nicolas Andreff, Phili...
In this paper, we consider the decidability of two problems related to information flow in a system with respect to some property. A flow occurs in a system if the conditional pr...