We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
To be able to understand the motion of deformable objects, techniques in image processing and computer vision are essential for non-rigid motion analysis in this active research a...
The cross ratio has wide applications in computer vision because of its invariance under projective transformation. In active vision where the projections of quadruples of colline...
Automatic and real-time identification of unusual incidents is important for event detection and alarm systems. In today's camera surveillance solutions video streams are dis...
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...