Title :
SOM based algorithm for video surveillance system parameter optimal selection
Author :
Scotti, G. ; Marcenaro, L. ; Regazzoni, C.S.
Author_Institution :
DIBE, Genoa Univ., Italy
Abstract :
In automatic video surveillance systems, full time monitoring represents an important goal to achieve. The aim of the paper is to find a new methodology for video surveillance adaptive parameter regulation. The method presented is based on self organizing maps (SOM) which are used for parameter regulation purposes. Results shown prove how this method permits overall good performances to be achieved for all environments.
Keywords :
adaptive control; object detection; self-organising feature maps; surveillance; telecommunication control; video signal processing; Kohonen network; adaptive control system; adaptive parameter regulation; full time monitoring; moving target detection; self organizing maps; video surveillance system parameter selection; Artificial neural networks; Computerized monitoring; Condition monitoring; Layout; Neurons; Organizing; Security; Trajectory; Variable structure systems; Video surveillance;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2003. Proceedings. IEEE Conference on
Print_ISBN :
0-7695-1971-7
DOI :
10.1109/AVSS.2003.1217945
