Investigates target detection with a Bayesian particle filter, suggesting enhanced tracking capabilities.
A Bayesian track-before-detect particle filter is proposed. The filter provides a sample based approximation to the distribution of the target state directly from pixel array data. The filter also provides a measure of the probability that a target is present.
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Salmond et al. (2001) studied this question.
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