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An automatic tracker is developed, which is capable of tracking intra-cellular features in living cells from 3-D confocal image sequences corrupted by noise. The proposed approach takes a Poisson MAP-MRF classification as an initial stage to detect objects. These are then used to update the multiple target locations generated by 3D Poisson Kalman Particle filters (PKPF). A probabilistic nearest neighbour...
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