Precision of a radial basis function neural network tracking method

Jay Hanan; Hanying Zhou; Tien-Hsin Chao

doi:10.1117/12.501406

6 August 2003 Precision of a radial basis function neural network tracking method

Jay Hanan, Hanying Zhou, Tien-Hsin Chao

Proceedings Volume 5106, Optical Pattern Recognition XIV; (2003) https://doi.org/10.1117/12.501406
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

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

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