%0 Journal Article
%T A cognitively motivated video detection system
%A Roger S. Gaborski
%A Jeremy Paskali
%J Journal of Applied Science and Engineering Technology
%D 2007
%I 
%X The Cognitively Motivated Video Detection (CMVD) system models our ability to detect interesting video events by first learning commonly occurring events in a particular environment. New events are then compared to previously learned events. If the event has not been seen before, the event is noted as interesting. Spatial- based events are described in terms of cognitively motivated low-level features including color, orientation, contrast, and motion. A schedule is used to represent temporal event patterns. The CMVD system has been successfully tested on video acquired from stationary cameras. The system accurately models human behavior.
%K Cognitive
%K Habituation
%K Interesting Events
%K Low-level features
%K Surveillance
%K Video
%U http://library.rit.edu/oajournals/index.php/jaset/article/viewFile/54/16