Morelande Mark (12 results)

Condition: New.

Condition: New.

Condition: New.

Condition: New. In English.

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.…

Hardcover. Condition: Brand New. 375 pages. 9.50x6.75x1.00 inches. In Stock.

Hardcover. Condition: Brand New. 375 pages. 9.50x6.75x1.00 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

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.…

paperback. Condition: New. Paperback. Pub Date: 2015-09-01 Pages: 292 Language: Chinese Publisher: National Defense Industry Press several decades. target tracking the emergence of many classic algorithms such as Kalman filter. particle filter. interacting multiple model (IMM ). probabilistic data association (PDA). an integrated track division (ITs) algorithm and a random collection methods. However. what is the link between these algorithms? They help us to achieve what is aircraft. missiles. space and the human lymp.…

Condition: New. Print on Demand pp. xii + 375 60 Illus. (1 Col.).