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 :
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