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Novel human gesture recognition and classification technique is suggested and experimentally studied. Suggested strategy is based on exploiting the interactions of human gestures with high-frequency electromagnetic field. Extracting of classification features contained in the wireless radio signal modulated by human gestures is proposed by utilizing bispectrum-based processing of the signal envelope...
Image over-segmentation, as a pre-processing step of image segmentation, splits the input image into superpixels. Those are small compact regions with irregular shapes. The majority of existing methods for texture feature extraction are not suitable for arbitrarily shaped regions. Therefore, only color information can be used to classify and merge superpixels to create final image segmentation. We...
In this paper the possibility to extract information about drops vibration and deformation using the polarization characteristics of electromagnetic wave and receiving antennas are considered. The mathematical expression that demonstrates the impact of drop shape deformation and vibration onto the field reflected from liquid hydrometeor assemble and received by the antenna with arbitrary polarization...
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