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Exact(30)
where the term p (x t |xt-1) represents the motion model, which describes the motion of the mobile device, and p (y t |x t ) represents the observation likelihood model, which describes the likelihood of observing a differential RSS measurement vector y t at a location x t.
Furthermore, a robust observation likelihood metric is proposed.
We redefine the observation likelihood and the affinity between observations to handle long term occlusions.
This is incorporated into a Track-Before-Detect (TBD) solution for the overall observation likelihood of each video frame and provides a principled derivation of the observation likelihood.
Compute the observation likelihood of EOH p ( O t e | S t i ) by Equation (28).
The detection likelihood is then integrated into the tracker's observation likelihood.
Similar(30)
The observation likelihoods are modelled with single Gaussian distributions.
Particle filters (PFs) are employed to track moving targets using observation likelihoods obtained from the differential radio maps.
The silence model is a single-state HMM with a 5-component GMM for the observation likelihoods.
Coordination between the pursuers takes place through the multi-sensor update where the observation likelihoods of all pursuers are used in the PF update stage.
As shown in Figure 1, DTAMs are HMM-based acoustic models that utilize DTs instead of GMMs to compute observation likelihoods.
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