Fundamentals of Object Tracking by Subhash Challa, Mark R. Morelande, Darko Mu?icki, Robin J. Evans
Publisher: Cambridge University Press | 2011 | ISBN: 0521876281 | 392 pages | PDF | 3,5 MB
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?
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.
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