The normalizedvector is used as the input of RBF NN, and target recognition is performed based on this, which leads to a satisfactory recognition result.
Using statistical methods to calculate the Angle interval mean and variance of pixels to centroid distance of the normalized gait silhouette images, and construct them as a feature vector.
No convergent drawback of the weight vector due to choose the dispersion constant inaccurately in the normalized constant modulus algorithms (NCMA) is overcome.