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This paper proposes a method to suppress the false positives of dynamic background based on Mixture of Gaussians (MOG) background modeling in space domain and time domain. In space domain, MRF and MOG model are used to calculate the class-prior probability and class-conditional-probability of the pixel. Foreground segmentation is completed by combine of the class-prior probability and class-conditional-probability...
In this work, maximum a posteriori (MAP) despeckling, implemented in the multiresolution domain defined by the undecimated discrete wavelet transform (UDWT), will carried out on very high resolution (VHR) SAR images and compared with earlier multiresolution approaches developed by the authors. The MAP solution in UDWT domain has been specialized to SAR imagery. Every UDWT subband is segmented into...
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this paper, however, we learn a motion model. We develop a hybrid model by combining the learnt model with Markov Random Field (MRF). And then we introduce a method based on "Radial Basis Function Neural Network" (RBF)...
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