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Fundamentals of object tracking /

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"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 adapted...

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Bibliographic Details
Corporate Author: Knovel (Firm)
Other Authors: Challa, Sudha, 1953-
Format: eBook
Language:English
Published: Cambridge, UK ; New York : Cambridge University Press, 2011.
Subjects:
Linear programming.
Programming (Mathematics)
MATHEMATICS > Linear Programming.
MATHEMATICS > Linear & Nonlinear Programming.
Objektverfolgung.
Electronic books.
Online Access:Connect to the full text of this electronic book
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.