Line tracking using an artificial neural network and a dual process model Bayesian mathematical framework

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