In our method for tracking objects, appearance features are smoothed by robust and adaptive Kalman filters, one to each pixel, making the method robust against occlusions. While t...
Many of today's complex computer applications are being modeled and constructed using the principles inherent to real-time distributed object systems. In response to this dem...
This paper introduces a novel method for real-time estimation of slowly varying parameters in nonlinear dynamical systems. The core concept is built upon the principles of symboli...
Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
We describe a technique for the control of production rules firing in an object-oriented setting. This technique is based on the separation of control rules from ordinary domain r...