Closed Form PHD Filtering For Linear Jump Markov Models

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Conference Proceeding
9th International Conference on Information Fusion, 2006, pp. 240 - 247
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In recent years there has been much interest in the probability hypothesis density (PHD) filtering approach, an attractive alternative to tracking unknown numbers of targets and their states in the presence of data association uncertainty, clutter, noise
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