Subhash Challa

Fundamentals of Object Tracking (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 28. Juli 2011
• Englisch
• ISBN-13: 9781139006064
• Artikelnr.: 38279810

Autorenporträt

Subhash Challa is a Senior Principal Research Scientist at NICTA (National ICT Australia) VRL at the University of Melbourne (UoM). He is also one of the co-founders of SenSen Networks Pty Ltd and has been the Director and CTO of the company.

Inhaltsangabe

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.