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The gait recognition algorithm adopt support vector machine based on hybrid kernel function and parameter optimization. Partial kernel function and overall kernel function are fitted to compose super-kernel function, so that the SVM obtain better generalization ability and generalization ability. In terms of parameter selection, the text uses the objective function and combine PSO algorithm to select...
The algorithm based on multi-feature and SVM is proposed. The paper firstly uses wavelet de-noising for gait images. The text offers to use width descriptors as gait features and combines lower angle features. The kernel-based Fisher criterion and support vector machine is combined to classification and identification. The gait characteristic is extracted by KFDA, which can obtain the best projection...
The algorithm based on KFDA and SVM is proposed. The information of width and angle is extracted from the human motion image sequences. The features of width and angle is merged and reduced by the KPCA. The Low-dimensional gait characteristic is extracted by modified KFDA, which can obtain the best projection direction and enhance the capacity of data classification. Then the support vector machine...
The algorithm based on KPDA and SVM is proposed. Firstly, gait energy image (GEI) and moment gait energy images (MGEI) are combined for expressing objects and features reduction. Then the low-dimensional gait characteristic is extracted by KFDA, which can obtain the best projection direction and enhance the capacity of data classification. Then the support vector machine (SVM) models are trained by...
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