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We present a new multi-target filtering recursion for nonlinear models, termed as the central difference multi-target multi-Bernoulli (CD-MeMBer) filter. Provided that the state and measurement noises are Gaussian, Sterling's polynomial interpolation formula is used in deriving the filter under the assumption that the initial prior multi-Bernoulli multi-target density is given and each probability...
A novel measure, called as the Normalized High-order Cross-cumulant Coefficient (NHCC), for registering medical images or its sequence is proposed in this paper. The analytical results show that the proposed NHCC cannot only easily capture the correlation information among the multiple variables simultaneously, but also suppress the additive Gaussian noise influence on the registration results of...
A new multi-target tracking algorithm, termed as the Gaussian sum convolution probability hypothesis density (GSCPHD) filter, is proposed. The filter is calculated by a bank of convolution filters with Gaussian approximations to the predicted and posterior densities. It is shown that the ability to deal with complex observation model, non or small observation noise of the GSCPHD over the Gaussian...
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