Subhash Challa (24 results)

Condition: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

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Condition: New. Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples. Num Pages: 392 pages, 60 b/w illus. 1 colour illus. BIC Classification: TJFM. Category: (U) Tertiary Education (US: College). Dimension: 253 x 183 x 27. Weight in Grams: 918. . 2011. Hardcover. . . . .

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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.

Condition: New. Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples. Num Pages: 392 pages, 60 b/w illus. 1 colour illus. BIC Classification: TJFM. Category: (U) Tertiary Education (US: College). Dimension: 253 x 183 x 27. Weight in Grams: 918. . 2011. Hardcover. . . . . Books ship from the US and Ireland.

Gebunden. Condition: New. In recent years there have been major advances in the use of object tracking technology for both military and civilian applications. This book provides a solid foundation to this field and its methods for the growing number of students, engineers and resear.

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

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Introduces object tracking algorithms from a unified, recursive Bayesian perspective, along with performance bounds and illustrative examples.

Hardcover. Condition: Like New. Like New. book.

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.

Hardcover. Condition: new. Hardcover. 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. In recent years there have been major advances in the use of object tracking technology for both military and civilian applications. This book provides a solid foundation to this field and its methods for the growing number of students, engineers and researchers working on real-world tracking problems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: Brand New. 375 pages. 9.50x6.75x1.00 inches. In Stock. This item is printed on demand.

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condition: new. Hardcover. 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. In recent years there have been major advances in the use of object tracking technology for both military and civilian applications. This book provides a solid foundation to this field and its methods for the growing number of students, engineers and researchers working on real-world tracking problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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

Hardcover. Condition: new. Hardcover. 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. In recent years there have been major advances in the use of object tracking technology for both military and civilian applications. This book provides a solid foundation to this field and its methods for the growing number of students, engineers and researchers working on real-world tracking problems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.