Fundamentals of object tracking

"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 to track everything from aircraft, missiles and extra-terrestrial objects to people and lymphocyte cells? How can they be adapted...

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Bibliographic Details
Other Authors Challa, Sudha, 1953-
Format Electronic eBook
LanguageEnglish
Published Cambridge, UK ; New York : Cambridge University Press, 2011.
Subjects
Online AccessFull text
ISBN9781139010375
1139010379
051197583X
9780511975837
9781139006590
1139006592
1139008234
9781139008235
1280886676
9781280886676
1139009850
9781139009850
9786613727985
6613727989
9780521876285
0521876281
Physical Description1 online resource (xii, 375 pages) : illustrations

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245 0 0 |a Fundamentals of object tracking /  |c Subhash Challa [and others]. 
260 |a Cambridge, UK ;  |a New York :  |b Cambridge University Press,  |c 2011. 
300 |a 1 online resource (xii, 375 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a "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 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 tracking 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 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 the successful implementation of tracking algorithms, such as track initialization and merging"--  |c Provided by publisher 
504 |a Includes bibliographical references and index. 
505 0 |a 1. Introduction to object tracking; 2. Filtering theory and non-manoeuvring object tracking; 3. Manoeuvring object tracking; 4. Single object tracking in clutter; 5. Single and multiple object tracking in clutter: 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; C. Pseudo functions in object tracking. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Linear programming. 
650 0 |a Programming (Mathematics) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Challa, Sudha,  |d 1953-  |1 https://id.oclc.org/worldcat/entity/E39PCjHMHDhCgKyjFKdTcJ664y 
776 0 8 |i Print version:  |t Fundamentals of object tracking.  |d Cambridge, UK ; New York : Cambridge University Press, 2011  |z 9780521876285  |w (DLC) 2011008595  |w (OCoLC)690090162 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpFOT00001/fundamentals-of-object?kpromoter=marc  |y Full text