DocumentCode
2507038
Title
Sequential multiple target detection using particle filters
Author
García-Fernández, Ángel F. ; Grajal, Jesús
Author_Institution
Dipt. Senates, Sist. y Radiocomun., Univ. Politec. de Madrid, Madrid, Spain
fYear
2011
fDate
28-30 June 2011
Firstpage
745
Lastpage
748
Abstract
We create and compare three sequential hypothesis tests for multiple target detection using particle filters. The algorithm with best performance assigns a variable number of particles to each hypothesis according to the posterior probabilities to optimise computational resources. Besides, the posterior probabilities of the hypotheses are calculated in a robust way regarding sample degeneracy.
Keywords
object detection; particle filtering (numerical methods); probability; signal detection; statistical testing; particle filters; posterior probability; sequential hypothesis tests; sequential multiple target detection; Gold; Particle filters; multiple hypothesis test;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing Workshop (SSP), 2011 IEEE
Conference_Location
Nice
ISSN
pending
Print_ISBN
978-1-4577-0569-4
Type
conf
DOI
10.1109/SSP.2011.5967811
Filename
5967811
Link To Document