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Comparison of implementations of Gaussian mixture PHD filters

Abstract:

The Probability Hypothesis Filter, which propagates the first moment, or intensity function, of a point process has become more and more popular to address multi-tracking problems. Under linear-Gaussian assumptions, the intensity function takes the form of a mixture of Gaussian kernels. As the number of elements increases exponentially over time, deterministic pruning and merging steps are commonly used to keep the complexity bounded. In this paper, we study alternative stochastic strategies....

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Authors


Del Moral, P More by this author
Journal:
13th Conference on Information Fusion, Fusion 2010
Publication date:
2010
URN:
uuid:ed3fc243-5291-410e-9c60-b66343b735ac
Source identifiers:
425323
Local pid:
pubs:425323

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