Development of the Logic Programming Approach to the Intelligent Monitoring of Anomalous Human Behaviour

摘要

A research software platform is developed that is based on the Actor Prolog concurrent object-oriented logic language and a state-of-the-art Prolog-to-Java translator for experimenting with the intelligent visual surveillance. We demonstrate an example of the application of the method to the monitoring of anomalous human behaviour that is based on the logical description of complex human behaviour patterns and special kinds of blob motion statistics. The logic language is used for the high-level (semantic) 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.