Automatic detection of intruders using a neural network

Fernando D. Carvalho; Pedro Novo; Cassiano Paixao Pais; Fernando Carvalho Rodrigues; Toste Rego

doi:10.1117/12.140008

16 September 1992 Automatic detection of intruders using a neural network

Fernando D. Carvalho, Pedro Novo, Cassiano Paixao Pais, Fernando Carvalho Rodrigues, Toste Rego

Proceedings Volume 1709, Applications of Artificial Neural Networks III; (1992) https://doi.org/10.1117/12.140008
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

Fernando D. Carvalho, Pedro Novo, Cassiano Paixao Pais, Fernando Carvalho Rodrigues, and Toste Rego "Automatic detection of intruders using a neural network", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); https://doi.org/10.1117/12.140008

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