Fundamentals of Object Tracking
Cambridge University Press, 7/28/2011
EAN 9780521876285, ISBN10: 0521876281
Hardcover, 392 pages, 25.5 x 18.1 x 2.8 cm
Language: English
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 track everything from aircraft, missiles and extra-terrestrial objects to people and lymphocyte cells? How can they be adapted to novel applications? Fundamentals of Object Tracking tells you how. Starting with the generic object-tracking problem, it outlines the generic Bayesian solution. It then shows systematically how to formulate the major tracking problems – maneuvering, multiobject, clutter, out-of-sequence sensors – within this Bayesian framework and how to derive the standard tracking solutions. This structured approach makes very complex object-tracking algorithms accessible to the growing number of users working on real-world tracking problems and supports them in designing their own tracking filters under their unique application constraints. The book concludes with a chapter on issues critical to successful implementation of tracking algorithms, such as track initialization and merging.
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.