Armin Shmilovici Leib

The last stage of any type of automatic surveillance system is the interpretation of information acquired from sensors. This work focuses on the interpretation of motion pictures taken from a surveillance camera, i.e. image understanding . The expert system presented in this paper can describe simple human activity in the field of view of a surveillance camera in natural language. The system has three different components: a pre-processing module for image segmentation and feature extraction, an object identification expert system (static model) and an action identification expert system (dynamic temporal model). The system was tested on a video segment of a pedestrian passageway taken by surveillance camera.