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...
Abstract. The paper examines the semantics of the terms `environment' and `habitat' and presents a semi-formalised ontological framework in which these concepts are relat...
The paper introduces an action recognition framework that uses concepts from the theory of chaotic systems to model and analyze nonlinear dynamics of human actions. Trajectories o...
We describe the Timed Input/Output Automata (TIOA) framework, a general mathematical framework for modeling and analyzing real-time systems. It is based on timed I/O automata, whi...
Dilsun Kirli Kaynar, Nancy A. Lynch, Roberto Segal...
We propose Unsteady Flow Advection–Convolution (UFAC) as a novel visualization approach for unsteady flows. It performs time evolution governed by pathlines, but builds spatial...