Fundamentals of Object Tracking Hardback
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.
- Format: Hardback
- Pages: 392 pages, 20 Halftones, unspecified; 40 Line drawings, unspecified; 1 Line drawings, color
- Publisher: Cambridge University Press
- Publication Date: 28/07/2011
- Category: Probability & statistics
- ISBN: 9780521876285