An intelligent automated surveillance system for parked vehicles

In this paper we report an intelligent automated surveillance system (IASS) that automatically recognizes various,activities in scenes that undergo surveillance through segmentation, classification, and tracking methods. The IASS then analyzes this data to intelligently determine the course of action to take with a fuzzy rule matrix model. As a case study, we use a fixed camera to thoroughly monitor activities occurring to a parked vehicle in a parking lot. The fundamental idea can be extended to other automated surveillance applications.