Description
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.
Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples.
About the Author
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. Mark R. Morelande is a Senior Research Fellow in the Melbourne Systems Laboratory at the University of Melbourne. Darko Musicki is a Professor in the Department of Electronic Systems Engineering at Hanyang University in Ansan, Republic of Korea. Robin J. Evans is a Professor of Electrical Engineering and Director of the Victoria Research Laboratory at the University of Melbourne.
Book Information
ISBN 9780521876285
Author Subhash Challa
Format Hardback
Page Count 392
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 910g
Dimensions(mm) 255mm * 181mm * 28mm
Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples.
About the Author
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. Mark R. Morelande is a Senior Research Fellow in the Melbourne Systems Laboratory at the University of Melbourne. Darko Musicki is a Professor in the Department of Electronic Systems Engineering at Hanyang University in Ansan, Republic of Korea. Robin J. Evans is a Professor of Electrical Engineering and Director of the Victoria Research Laboratory at the University of Melbourne.
Book Information
ISBN 9780521876285
Author Subhash Challa
Format Hardback
Page Count 392
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 910g
Dimensions(mm) 255mm * 181mm * 28mm
