Description This second edition has undergone substantial revision from the 1999 first edition, recognizing that a lot has changed in the multiple target tracking field.
One of the most dramatic changes is in the widespread use of particle filters to implement nonlinear, non-Gaussian Bayesian trackers.
This book views multiple target tracking as a Bayesian inference problem.
Within this framework it develops the theory of single target tracking.
In addition to providing a detailed description of a basic particle filter that implements the Bayesian single target recursion, this resource provides numerous examples that involve the use of particle filters.
Artech House Publishers Bayesian multiple target tracking, second edition, hardcover/lawrence d. stone
