DocumentCode
631170
Title
Evidential data association in multi-target tracking
Author
Dallil, Ahmed ; Ouldali, Abdelaziz
Author_Institution
Ecole Militaire Polytech., Algiers, Algeria
Volume
1
fYear
2013
fDate
19-21 June 2013
Firstpage
381
Lastpage
386
Abstract
In this paper we present a general algorithm for data association in multi-target tracking in the framework of Dempster-Shafer theory. The solution adopted for the representation of the information in our method is strongly influenced by the algorithm developed by Rombault and Gruyer. Furthermore we derive our mathematical formulation of the problem, give a new approach for mass function generation and provide a new way for decision making.
Keywords
decision making; inference mechanisms; sensor fusion; signal representation; target tracking; Dempster-Shafer theory; decision making; evidential data association; information representation; mass function generation; mathematical formulation; multitarget tracking; Covariance matrices; Decision making; Filtering theory; Proposals; Target tracking; Time measurement; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Symposium (IRS), 2013 14th International
Conference_Location
Dresden
Print_ISBN
978-1-4673-4821-8
Type
conf
Filename
6581117
Link To Document