Recognizing Moving Objects Based on Gaussian-Hermite Moments and ART Neural Networks

Moments are widely used in pattern recognition, image processing, and computer vision and multi resolution analysis. In this paper, we first printout Gaussian-Hermite moments, and propose a new method to extract the object’s features based on Gaussian-Hermite moments. Following, for training ART neural network, the moment features were inputted to ART as its parameters; so that, a classifier was realized for recognizing the moving objects. The experiment results are reported also, which show the good performance of our method.