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{ "item_title" : "Fundamentals of Object Tracking", "item_author" : [" Subhash Challa", "Mark R. Morelande", "Darko Musicki "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/52/187/628/0521876281_b.jpg", "price_data" : { "retail_price" : "126.00", "online_price" : "126.00", "our_price" : "126.00", "club_price" : "126.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Fundamentals of Object Tracking|Subhash Challa

Fundamentals of Object Tracking

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Overview

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.

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Details

  • ISBN-13: 9780521876285
  • ISBN-10: 0521876281
  • Publisher: Cambridge University Press
  • Publish Date: July 2011
  • Dimensions: 9.8 x 6.9 x 1 inches
  • Shipping Weight: 2 pounds
  • Page Count: 392

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