000			02213nam a2200337 i 4500
001			CR9780511975837
003			UkCbUP
005			20240730160740.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101011s2011||||enk o ||1 0|eng|d
020			_a9780511975837 (ebook)
020			_z9780521876285 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	4	_aQA402.5 _b.C43 2011
082	0	0	_a519.7 _222
100	1		_aChalla, Sudha, _d1953- _eauthor. _974398
245	1	0	_aFundamentals of object tracking / _cSubhash Challa [and others].
264		1	_aCambridge : _bCambridge University Press, _c2011.
300			_a1 online resource (xii, 375 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aKalman 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.
650		0	_aLinear programming. _92192
650		0	_aProgramming (Mathematics) _99866
776	0	8	_iPrint version: _z9780521876285
856	4	0	_uhttps://doi.org/10.1017/CBO9780511975837
942			_cEBK
999			_c84114 _d84114