𝔖 Bobbio Scriptorium
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Multitarget Tracking of Distributed Targets Using Histogram-PMHT

✍ Scribed by Roy L. Streit; Marcus L. Graham; Michael J. Walsh

Book ID
102570342
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
415 KB
Volume
12
Category
Article
ISSN
1051-2004

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✦ Synopsis

The expectation-maximization method is applied to derive a stable tracking algorithm that uses the entire display (image) as its input data, completely avoiding peak picking and other data compression steps required to produce traditional point measurements. The algorithm links a histogram interpretation of the intensity data with the tracking method of probabilistic multihypothesis tracking (PMHT) and is thus referred to as H-PMHT. An example of H-PMHT applied to tracking in bearing on a passive sonar broadband display is provided.

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✍ Masayoshi Ito; Shingo Tsujimichi; Yoshio Kosuge πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 355 KB

## Abstract A method is proposed for combining the acquired information of several passive sensors in order to obtain two‐dimensional information on the elevation and azimuth angles of the target and to estimate the location and velocity of the moving target in a three‐dimensional space. In the cas