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In this paper, we propose a new temporal coherent face descriptor for video gender recognition. The proposed face descriptor is constructed from detected faces of continuous video frames. Because it describes detected faces under variant changes in continuous video frames and provides a unified feature description, face normalization and alignment processes can be avoided during gender recognition...
Maximally Stable Extremal Region (MSER) has been proved to be a powerful local invariant feature. The original MSER detector only utilizes the intensity space. To get more information from a color image, it is naturally to extract MSERs from H, S and I spaces, or other color spaces. However, the increased MSER set inevitably bring in some unstable MSERs, and this will contaminate the over-all reliability...
Discrete wavelet transform (DWT) provides a multiresolution view of hyperspectral data. This paper proposes a method to combine the wavelet features at different layers to improve the classification accuracy of hyperspectral data, where both global and local spectral features could be exploited. After feature extraction using DWT, the wavelet feature set of each layer is processed independently by...
Support vector machine for pattern classification is motivated by linear machines, but rely on preprocessing the data to represent in a high dimension with an appropriate nonlinear mapping, data from two categories can by separated by a hyperplane. To make certain the hyperplane, the key problem is selecting appropriate criterion and algorithm. To find out the appropriate solution vector in solution...
Geomagnetic reference map is the basis for geomagnetic navigation, and modeling of regional geomagnetic field is one of the available methods to construct the geomagnetic reference map. Common-used modeling methods are not so fit for the small-scale regional geomagnetic field, so new ways to modeling of regional geomagnetic field is needed. The total intensity of geomagnetic field is a complicated...
This investigation proposes an SVM-based state transition framework (named as STSVM) to provide better performance of discriminability for human behavior identification. The STSVM consists of several state support vector machines (SSVM) and a state transition probability (STPM). The intra-structure information and inter-structure information of a human activity are analyzed and correlated by the SSVM...
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