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Target Tracking algorithms are often thought of as a conglomeration of a number of unrelated techniques and tricks. However, they all have firm foundations in the recursive Bayesian Logic. In this paper, we review the Bayesian underpinnings of several target tracking algorithms and highlight the assumptions under which appropriate Bayesian recursions are derived and used.

Original publication

DOI

10.1109/ICDSP.2002.1027913

Type

Conference paper

Publication Date

01/01/2002

Volume

1

Pages

437 - 440