Precision of a radial basis function neural network tracking method
Jay C. Hanan, Hanying Zhou, Tien‐Hsin Chao · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
The precision of a radial basis function (RBF) neural network based tracking method has been assessed against real targets. Intensity profile feature extraction was used to build a model in real time, evolving with the target. Precision was assessed against traditionally measured frame-by-frame measurements from the recorded data set. The results show the potential limit for the technique and reveal intricacies associated with empirical data not necessarily observed in simulations.