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What is RBF Networks for Object Tracking about?

The document summarizes an object tracking algorithm using Radial Basis Function (RBF) networks. It discusses: 1) Object tracking is implemented using RBF classifiers on pixel color features to classify pixels as object or background. 2) An RBF network is used as the "Object classifier" with Gaussian hidden neurons centered on pixel color values to approximate the object model. 3) The algorithm separates the object from background using joint probability density functions of color, then applies the RBF

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