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dc.contributor.authorVo, Ba-Ngu
dc.contributor.authorVo, Ba Tuong
dc.contributor.authorPham, N.
dc.contributor.authorSuter, D.
dc.date.accessioned2017-01-30T12:59:56Z
dc.date.available2017-01-30T12:59:56Z
dc.date.created2014-07-01T20:00:28Z
dc.date.issued2012
dc.identifier.citationVo, B. and Vo, B.T. and Pham, N. and Suter, D. 2012. Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations.'" IEEE Transactions on Signal Processing. 60 (3): pp. 1540-1541.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/27587
dc.identifier.doi10.1109/TSP.2011.2173686
dc.description.abstract

In this paper we present three theoretical results on conjugate priors for point processes (or random finite sets), namely Poisson, i.i.d. cluster, and multi-Bernoulli. As an example of the use of these results, the multi-Bernoulli conjugate prior was applied to multi-object filtering for image data, which covers various tracking problems, including track before-detect (TkBD). Davey's comments only concern our implementation of the HPMHT algorithm used to benchmark the performance of the multi-Bernoulli filter in a numerical example involving TkBD.

dc.publisherIEEE
dc.titleReply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'"
dc.typeJournal Article
dcterms.source.volume60
dcterms.source.number3
dcterms.source.startPage1540
dcterms.source.endPage1541
dcterms.source.issn1053-587X
dcterms.source.titleIEEE Transactions on Signal Processing
curtin.department
curtin.accessStatusFulltext not available


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