Intended Audience: People wishing to understand the basic theory, results, and methods of multiple-target tracking from a standard Bayesian point of view without unnecetutoialary extensions, generalizations, or mathematical formalisms. Researchers desiring to learn how likelihood functions incorporate disparate types of information into data fusion solutions in a principled fashion.
Description: This tutorial is based on the book, Bayesian Multiple Target Tracking 2nd Ed. Its purpose is to present the basic results in multiple-target tracking from a Bayesian point of view. People who register will receive a complimentary copy of the book when they attend the tutorial.
Prerequisites:
Presenter: Lawrence D. Stone, Roy L. Streit
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