Abstract:
The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) recursion approximates the multi-target posterior density by a multi-Bernoulli probability density, and i...Show MoreMetadata
Abstract:
The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) recursion approximates the multi-target posterior density by a multi-Bernoulli probability density, and is based on the standard measurement model that targets are points. In reality, there are many other measurement models substantially different from this. This paper represents part of our theoretical studies on a CBMeMBer filter for nonstandard multitarget measurement models. The main contribution of our work lies in the establishment of the measurement-update equations for a CBMeMBer filter based on the Poisson extended-target measurement model proposed by Gilholm et al.
Date of Conference: 07-10 July 2014
Date Added to IEEE Xplore: 07 October 2014
Electronic ISBN:978-8-4901-2355-3
Conference Location: Salamanca, Spain