Track Correlation Algorithm Research Based on Likelihood
Abstract：This paper mainly discusses the track association problem for the distributed multitarget tracking system, then two kinds oftrack association algorithms based on likelihood are presented, this method can weigh the degree of relative correlation by building likelihood function, which breaks through the limitations of the sample quantities and the typical distributing rule, at last, the simulations under thetypical environment are given, the results shows that the decision based on likelihood theory can reach a satisfying conclusion,which embodies the perfect properties of likelihood theory in solving track association problem.
Keywords：multitarget trackingtrack associationlikelihood function
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 43-45 )