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 adapted...

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Bibliographic Details
Other Authors Challa, Sudha, 1953-
Format Electronic eBook
LanguageEnglish
Published Cambridge, UK ; New York : Cambridge University Press, 2011.
Subjects
Linear programming.
Programming (Mathematics)
elektronické knihy
electronic books
Online AccessFull text
ISBN9781139010375
1139010379
051197583X
9780511975837
9781139006590
1139006592
1139008234
9781139008235
1280886676
9781280886676
1139009850
9781139009850
9786613727985
6613727989
9780521876285
0521876281
Physical Description1 online resource (xii, 375 pages) : illustrations

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Table of Contents:
  • 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.

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