Recognizing moving objects based on gaussian-hermite moments and ART neural networks

被引:0
|
作者
Wu Y. [1 ]
Wu J. [1 ]
机构
[1] Guizhou University for Nationalities, 550025 Huaxi, Guiyang
关键词
ART network; Gaussian-Hermite moments; Moving object recognition;
D O I
10.4156/jcit.vol5.issue8.7
中图分类号
学科分类号
摘要
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.
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