Fundamentals of object tracking

"Kalman filter, particle filter, IMM, PDA, ITS, random sets . . . The number of useful object tracking methods is exploding. But how are they related? How do they help to track everything from aircraft, missiles and extra-terrestrial objects to people and lymphocyte cells? How can they be adapt...

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Bibliographic Details
Other Authors Challa, Sudha, 1953-
Format eBook
LanguageEnglish
Published Cambridge, UK ; New York : Cambridge University Press, 2011.
Subjects
Linear programming.
Programming (Mathematics)
elektronické knihy
electronic books
Online AccessFull text
ISBN9781139010375
9780511975837
9781139006590
Physical Description1 online zdroj (xii, 375 p.) : ill.

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Table of Contents:
  • Machine generated contents note: Preface; 1. Introduction to object tracking; 2. Filtering theory and non-manoeuvring object tracking; 3. Manoeuvring object tracking; 4. Single object tracking in clutter; 5. Single and multiple object tracking in clutter: 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; C. Pseudo functions in object tracking; Bibliography; Index.

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