An Approach to the Intelligent Monitoring of Anomalous Human Behaviour Based on the Actor Prolog Object-Oriented Logic Language

A method for the monitoring of anomalous human behaviour that is based on the logical description of complex human behaviour patterns and special kinds of blob (a separated area of a foreground image) motion statistical metrics is developed. The concurrent object-oriented logic language is used for the analysis of graphs of tracks of moving blobs; the graphs are supplied by low-level analysis algorithms implemented in a special built-in class of Actor Prolog. The blob motion statistics is collected by the low-level analysis procedures that are of the need for the discrimination of running people, people riding bicycles, and cars in a video scene. The first-order logic language is used for implementing the fuzzy logical inference based on the blob motion statistics. A research software platform is developed that is based on the Actor Prolog logic language and a state-of-the-art Prolog-to-Java translator for experimenting with the intelligent visual surveillance.