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 adapt...

Full description

Saved in:
Bibliographic Details
Other Authors Challa, Sudha, 1953-
Format eBook
LanguageEnglish
Published Cambridge, UK ; New York : Cambridge University Press, 2011.
Subjects
Online AccessFull text
ISBN9781139010375
9780511975837
9781139006590
Physical Description1 online zdroj (xii, 375 p.) : ill.

Cover

LEADER 00000cam a2200000 a 4500
001 73877
003 CZ-ZlUTB
005 20251006170600.0
006 m d
007 cr un
008 120402s2011 enka sb 001 0 eng d
020 |a 9781139010375  |q (ebook) 
020 |a 9780511975837  |q (ebook) 
020 |a 9781139006590  |q (ebook) 
035 |a (OCoLC)782907546  |z (OCoLC)769628618  |z (OCoLC)781935699  |z (OCoLC)792986323  |z (OCoLC)794488102 
040 |a N$T  |c N$T  |d YDXCP  |d UIU  |d KNOVL  |d COO  |d B24X7  |d ZCU  |d E7B  |d DEBSZ  |d OCLCQ  |d KNOVL 
245 0 0 |a Fundamentals of object tracking  |h [elektronický zdroj] /  |c Subhash Challa ... [et al.]. 
260 |a Cambridge, UK ;  |a New York :  |b Cambridge University Press,  |c 2011. 
300 |a 1 online zdroj (xii, 375 p.) :  |b ill. 
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 8 |a Machine generated contents note: Preface; 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; Bibliography; Index. 
588 |a Description based on print version record. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
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- 
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=http://app.knovel.com/web/toc.v/cid:kpFOT00001 
992 |a BK  |c KNOVEL 
999 |c 73877  |d 73877 
993 |x NEPOSILAT  |y EIZ