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Proceedings Paper

Automatic detection of intruders using a neural network
Author(s): Fernando D. Carvalho; Pedro Novo; Cassiano Paixao Pais; Fernando Carvalho Rodrigues; Toste Rego
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Paper Abstract

A system is presented that applies a neural network to a video surveillance system. It consists of a pre-processing unit that extract high level information from images and introduces it in the neural network. This system can learn in operational conditions while under the supervision of an unskilled operator. It uses the error backpropagation learning algorithm in a multilayer perceptron structure. The results obtained show that the system performs well, and with a high degree of efficiency.

Paper Details

Date Published: 16 September 1992
PDF: 4 pages
Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.140008
Show Author Affiliations
Fernando D. Carvalho, LNETI (Portugal)
Pedro Novo, LNETI (Portugal)
Cassiano Paixao Pais, LNETI (Portugal)
Fernando Carvalho Rodrigues, LNETI (Portugal)
Toste Rego, LNETI (Portugal)

Published in SPIE Proceedings Vol. 1709:
Applications of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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