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Fundamentals of object tracking / Subhash Challa... [et al.]

Contributor(s): Resource type: Ressourcentyp: BuchBookLanguage: English Publisher: Cambridge [u.a.] : Cambridge University Press, 2011Edition: 1. publDescription: XII, 375 S : graph. Darst ; 26 cmISBN:
  • 0521876281
  • 9780521876285
Subject(s): Additional physical formats: Online-Ausg.: Fundamentals of object tracking. Online-Ausg. Cambridge : Cambridge Univ. Press, 2011. Online-Ressource (1 online resource (xii, 375 p.)) | Erscheint auch als: Fundamentals of Object Tracking. Online-Ausgabe. Online-Ausg. Cambridge : Cambridge University Press, 2011. Online-Ressource (1 online resource (392 p.))DDC classification:
  • 518.1
  • 519.7 22
  • MAT017000
  • MAT017000
RVK: RVK: SK 870 | ST 330LOC classification:
  • QA402.5
Contents:
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.
Action note:
  • 2
Summary: "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"--PPN: PPN: 656696605
Holdings
Item type Home library Collection Shelving location Call number Status Date due Barcode
Handbibliothek Fakultät für Informatik F.Cha Handbibliothek (Ausleihe und Einsicht nicht möglich) F.Cha(57573) Checked out Ausleihe und Einsicht nicht möglich 15.01.2034 000658674090
Total holds: 0

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