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A cognitively motivated video detection system

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Author(s): Roger S. Gaborski | Jeremy Paskali

Journal: Journal of Applied Science and Engineering Technology
ISSN 1939-8565

Volume: 1;
Date: 2007;
Original page

Keywords: Cognitive | Habituation | Interesting Events | Low-level features | Surveillance | Video

ABSTRACT
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.

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