Closed Form PHD Filtering For Linear Jump Markov Models

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
9th International Conference on Information Fusion, 2006, pp. 240 - 247
Issue Date:
2006-01
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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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