FUNDAMENTALS OF OBJECT TRACKING
Kalman filter, particle filter, IMM, PDA, ITS, random sets ...Thenumberofuseful
object tracking methods is exploding. But how are they related? How do they help
to 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 track-
ing problems – maneuvering, multi-object, 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 accessi-
ble 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 the successful
implementation of tracking algorithms, such as track initialization and merging.
SUBHASH CHALLA is a Professor and Senior Principal Researcher at the
NICTA, Victoria Research Laboratory at the University of Melbourne. He is also
the co-founder and CEO of SenSen Networks Pty Ltd, a leading video business
intelligence solutions company.
MARK R. MORELANDE is a Senior Research Fellow in the Melbourne Systems
Laboratory at the University of Melbourne.
DARKO MU
ˇ
SICKI is a Professor in the Department of Electronic Systems Engi-
neering at Hanyang University in Ansan, Republic of Korea.
ROBIN J. EVANS is a Professor of Electrical Engineering at the University of
Melbourne and the Director of NICTA, Victoria Research Laboratory.
评论0