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This paper introduces a vision-based motion capture system. Motion capturing technology consists of two categories: model-based tracking and example-based indexing. The motion capturing systems face two challenges: parameter estimation in high-dimensional space and self-occlusion. Our algorithm extends the locality sensitive hashing (LSH) method to find the approximate examples and then estimates...
The contourlet transform can effectively provide sparse and decorrelated image representation. And its subband coefficients can be modeled as the generalized Gaussian (GG) distribution. In this paper, an improved maximum likelihood (ML) parameter estimation method is proposed, in which a novel initial estimation value and a modified iterative algorithm are used. The new approach has been applied to...
In this paper, a new model for correlated K-distributed sea clutter simulation is developed, which combines a fast Gamma-distributed random process to make the procedure much simpler. Two parameters, ± and ², which can be fitted by the mean and standard deviation of the measured data, are included in this model to specify the statistical probability density characteristics of the sea clutter. Based...
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