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.
Recommended Citation
Gaborski, Roger S. and Paskali, Jeremy
(2007)
"A cognitively motivated video detection system,"
Journal of Applied Science & Engineering Technology: Vol. 1:
Iss.
1, Article 2.
Available at:
https://repository.rit.edu/jaset/vol1/iss1/2