We present an unobtrusive vision based system for the recognition of situations in group meetings. The system uses a three-stage architecture, consisting of one video processing stage and two classification stages. The video processing stage detects motion in the videos and extracts up to 12 features from this data. The classification stage uses Hidden Markov Models to first identify the activi...

Agents interacting in a dynamically changing spatial environment often need to access the same spatial resources. A typical example is given by moving vehicles that meet at an intersection in a street network. In such situations right-of-way rules regulate the actions the vehicles involved may perform. For this application scenario we show how the Golog framework for reasoning about action and ...

Article history: Available online 3 April 2010