Title :
Line tracking using an artificial neural network and a dual process model Bayesian mathematical framework
Author :
Bridle, J. ; Smith, D.
Author_Institution :
Admiralty Res. Establ., Portland, UK
Abstract :
The authors describe an artificial neural net feature detector which performs at least as well as a human operator and outperforms the classical K nearest neighbour feature extraction process. They further outline a dual process model Bayesian mathematical framework which can be used to line track the feature once the feature has been detected
Keywords :
Bayes methods; military systems; neural nets; pattern recognition; probability; Bayesian mathematical framework; artificial neural net feature detector; dual process model; human operator performance; line tracking; pattern recognition;
Conference_Titel :
Role of Image Processing in Defence and Military Electronics, IEE Colloquium on
Conference_Location :
London
