par Pace, Michele ;Del Moral, Pierre
Référence I E E E Journal on Selected Topics in Signal Processing, 7, 3, page (484-495), 6472732
Publication Publié, 2013
Article révisé par les pairs
Résumé : We discuss a connection between spatial branching processes and the PHD recursion based on conditioning principles for Poisson Point Processes. The branching process formulation gives a generalized Feynman-Kac systems interpretation of the PHD filtering equations, which enables the derivation of mean-field implementations of the PHD filter. This approach provides a principled means for obtaining target tracks and alleviates the need for pruning, merging and clustering for the estimation of multi-target states. © 2007-2012 IEEE.