Preface 1. Introduction to object tracking 2. Filtering theory and non-maneuvering object tracking 3. Maneuvering object tracking 4. Single-object tracking in clutter 5. Single- and multiple-object tracking in clutter: object-existence-based approach 6. Multiple-object tracking in clutter: random-set-based approach 7. Bayesian smoothing algorithms for object tracking 8. Object tracking with time-delayed, out-of-sequence measurements 9. Practical object tracking A. Mathematical and statistical preliminaries B. Finite set statistics (FISST) C. Pseudo-functions in object tracking References Index.
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