An improved CPHD filter for unknown clutter backgrounds
dc.contributor.author | Mahler, R. | |
dc.contributor.author | Vo, Ba Tuong | |
dc.contributor.editor | Ivan Kadar | |
dc.date.accessioned | 2017-01-30T10:56:51Z | |
dc.date.available | 2017-01-30T10:56:51Z | |
dc.date.created | 2015-05-22T08:32:19Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Mahler, R. and Vo, B.T. 2014. An improved CPHD filter for unknown clutter backgrounds, in Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, May 5 2014. Baltimore, MD, United States: International Society for Optical Engineering (SPIE). | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/6971 | |
dc.identifier.doi | 10.1117/12.2050013 | |
dc.description.abstract |
The “clutter-agnostic” CPHD filter was introduced at the 2010 SPIE Defense, Security and Sensing Symposium in 2010, and has been investigated in subsequent papers. This “k-CPHD filter” was capable of multitarget detection and tracking in unknown, dynamically changing clutter backgrounds. It was also capable of estimating the entire intensity function of the clutter process. The purpose of this paper is to introduce a generalization of this filter. The generalized k-CPHD filter has the following two major improvements: (1) a formula for the probability distribution on the number of targets (target cardinality distribution); and (2) a formula for the probability distribution of the number of clutter measurements (clutter cardinality distribution). More generally, the entire probability distribution of the clutter process can be estimated. | |
dc.publisher | S P I E - International Society for Optical Engineering | |
dc.title | An improved CPHD filter for unknown clutter backgrounds | |
dc.type | Conference Paper | |
dcterms.source.title | Proceedings of SPIE - The International Society for Optical Engineering | |
dcterms.source.series | Proceedings of SPIE - The International Society for Optical Engineering | |
dcterms.source.isbn | 978-162841028-0 | |
dcterms.source.conference | Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII | |
dcterms.source.conference-start-date | May 5 2014 | |
dcterms.source.conferencelocation | Baltimore, MD; United States | |
dcterms.source.place | United States | |
curtin.department | Department of Electrical and Computer Engineering | |
curtin.accessStatus | Fulltext not available |