6 August 2003 Precision of a radial basis function neural network tracking method
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Abstract
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.
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Jay Hanan, Jay Hanan, Hanying Zhou, Hanying Zhou, Tien-Hsin Chao, Tien-Hsin Chao, } "Precision of a radial basis function neural network tracking method", Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); doi: 10.1117/12.501406; https://doi.org/10.1117/12.501406
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