DocumentCode
674873
Title
General multi-object filtering and association measure
Author
Houssineau, Jeremie ; Del Moral, Pierre ; Clark, Daniel E.
Author_Institution
Heriot-Watt Univ., Edinburgh, UK
fYear
2013
fDate
15-18 Dec. 2013
Firstpage
33
Lastpage
36
Abstract
This short paper focuses on the structure of the data association problem and details a solution based on the introduction of distinguishability in the representation of a given stochastic population. This approach allows for the derivation of general filtering equations for independent stochastic populations. Based on these general equations, the concept of association measure is defined recursively.
Keywords
filtering theory; signal representation; stochastic processes; dat association measure; general filtering equation; general multiobject filtering; independent stochastic population; Approximation methods; Equations; Extraterrestrial measurements; Mathematical model; Sociology; Statistics; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
Conference_Location
St. Martin
Print_ISBN
978-1-4673-3144-9
Type
conf
DOI
10.1109/CAMSAP.2013.6714000
Filename
6714000
Link To Document