Handbook of Multisensor Data Fusion, 2nd Edition

12

 

 

Bayesian Approach to Multiple-Target Tracking*

 

Lawrence D. Stone

CONTENTS

12.1   Introduction

12.1.1   Definition of Bayesian Approach

12.1.2   Relationship to Kalman Filtering

12.2   Bayesian Formulation of Single-Target Tracking Problem

12.2.1   Bayesian Filtering

12.2.2   Problem Definition

12.2.2.1   Target State Space

12.2.2.2   Prior Information

12.2.2.3   Sensors

12.2.2.4   Likelihood Functions

12.2.2.5   Posterior

12.2.3   Computing the Posterior

12.2.3.1   Recursive Method

12.2.3.2   Single-Target Recursion

12.2.4   Likelihood Functions

12.2.4.1   Line-of-Bearing Plus Detection Likelihood Functions

12.2.4.2   Combining Information Using Likelihood Functions

12.3   Multiple-Target Tracking without Contacts or Association (Unified ...