@inproceedings{RuleML2015Poster,

author

=

{Alexei A. Morozov and Olga S. Sushkova and Alexander F. Polupanov},

title

= {

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

editor

=

{N.Bassiliades and P.Fodor and A.Giurca and G.Gottlob and T.Kliegr and G.J.Nalepa and M.Palmirani and A.Paschke and M.Proctor and D.Roman and F.Sadri and N.Stojanovic},

booktitle

=

{{RuleML} 2015 {DC} and {C}hallenge. Proceedings of the 9th International {Rule Challenge} and the 5th {RuleML} Doctoral Consortium (Berlin, Germany, August 2-5)},

publisher

=

{CEUR},

address

=

{Berlin},

year

=

2015,

url

=

abstract

= {

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.

}