This paper proposes a class of algorithms for analyzing event count time series, based on state space modeling and Kalman filtering. While the dynamics model is kept Gaussian linear, nonlinear observation function chosen. In order to estimate states, an iterated extended filter employed. Positive definiteness covariance matrices preserved by square-root filtering approach, singular value decomp...

This work presents a new framework for three-dimensional modeling of dynamic fires present in unstructured scenes. The proposed approach addresses the problem of segmenting fire regions using information from YUV and RGB color spaces. Clustering is also used to extract salient points from a pair of stereo images. These points are then used to reconstruct 3D positions in the scene. A matching st...

A Unified Modeling Language (UML) description of the BSP model of parallel computation is presented. This UML description identifies BSP classes and objects and specifies various object and inter-object relationships, dependencies, and behaviors. This was achieved by describing various views of the BSP model using many of the UML structural and behavioral diagrams. The use to the UML to describ...