CPHD filters for unknown clutter and target-birth processes
MetadataShow full item record
The "background-agnostic" CPHD filter was introduced at the 2010 SPIE Defense, Security and Sensing Symposium in 2010. It is a CPHD filter that is capable of operation when both the clutter background and the target-detection profile are unknown and dynamically changing. These CPHD filters are also capable of on-the-fly estimation of the intensity function and cardinality distribution of the clutter process. Leveraging ideas of Ristic, Clark, and Vo, this paper describes a generalization of the background-agnostic CPHD filter that can also estimate the intensity function and cardinality distribution of the target-appearance process. The probability distributions of the clutter and target-birth processes can also be estimated. © 2014 SPIE.
Showing items related by title, author, creator and subject.
Mahler, Ronald (2012)This paper describes a general approach for deriving PHD/CPHD filters that must estimate the background clutter process, rather than being provided with it a priori. I first derive general time- and measurementupdate ...
Mahler, R.; Vo, Ba Tuong (2014)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 ...
Mahler, Ronald (2014)© 2014 IEEE. In previous publications the author introduced CPHD filters designed to detect and track multiple targets in unknown, dynamically changing clutter backgrounds. The first such filters employed Poisson clutter ...