Synopsis
Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples.
"synopsis" may belong to another edition of this title.
About the Authors
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 Mušicki 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.
"About this title" may belong to another edition of this title.
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Fundamentals of Object Tracking
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Fundamentals of Object Tracking
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Condition: New. Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples. Num Pages: 392 pages, 60 b/w illus. 1 colour illus. BIC Classification: TJFM. Category: (U) Tertiary Education (US: College). Dimension: 253 x 183 x 27. Weight in Grams: 918. . 2011. Hardcover. . . . . Seller Inventory # V9780521876285
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Fundamentals of Object Tracking
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Hardback. Condition: New. 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. Seller Inventory # LU-9780521876285
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Fundamentals of Object Tracking
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Condition: New. Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples. Num Pages: 392 pages, 60 b/w illus. 1 colour illus. BIC Classification: TJFM. Category: (U) Tertiary Education (US: College). Dimension: 253 x 183 x 27. Weight in Grams: 918. . 2011. Hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9780521876285