@article{2f0a687b9e134c3b9a9cc51340f91a10,
title = "Recursive expectation-maximization (EM) algorithms for time-varying parameters with applications to multiple target tracking",
abstract = "We investigate the application of expectationmaximization (EM) algorithms to the classical problem of multiple target tracking (MTT) for a known number of targets. Conventional algorithms, which deal with this problem, have a computational complexity that depends exponentially on the number of targets, and usually divide the problem into a localization stage and a tracking stage. The new algorithms achieve a linear dependency and integrate these two stages. Three optimization criteria are proposed,: using deterministic and stochastic dynamic models for the targets.",
author = "Liron Frenkel and Meir Feder",
note = "Funding Information: Manuscript received June 16, 1995; revised March 10, 1998. This work was supported by the U.S.–Israel Binational Science Foundation (BSF). The associate editor coordinating the review of this paper and approving it for publication was Dr. Petar M. Djuric. L. Frenkel is with Orckit Communications, Tel-Aviv, Israel. M. Feder is with the Department of Electrical Engineering—Systems, Tel-Aviv University, Tel-Aviv, Israel. Publisher Item Identifier S 1053-587X(99)00763-1.",
year = "1999",
doi = "10.1109/78.740104",
language = "אנגלית",
volume = "47",
pages = "306--320",
journal = "IEEE Transactions on Signal Processing",
issn = "1053-587X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",
}