Journal of Applied Mathematics

Extended Target Shape Estimation by Fitting B-Spline Curve

Jin-long Yang, Peng Li, and Hong-wei Ge

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Abstract

Taking into account the difficulty of shape estimation for the extended targets, a novel algorithm is proposed by fitting the B-spline curve. For the single extended target tracking, the multiple frame statistic technique is introduced to construct the pseudomeasurement sets and the control points are selected to form the B-spline curve. Then the shapes of the extended targets are extracted under the Bayes framework. Furthermore, the proposed shape estimation algorithm is modified suitably and combined with the probability hypothesis density (PHD) filter for multiple extended target tracking. Simulations show that the proposed algorithm has a good performance for shape estimate of any extended targets.

Article information

Source
J. Appl. Math., Volume 2014 (2014), Article ID 741892, 9 pages.

Dates
First available in Project Euclid: 2 March 2015

Permanent link to this document
https://projecteuclid.org/euclid.jam/1425305852

Digital Object Identifier
doi:10.1155/2014/741892

Mathematical Reviews number (MathSciNet)
MR3228140

Citation

Yang, Jin-long; Li, Peng; Ge, Hong-wei. Extended Target Shape Estimation by Fitting B-Spline Curve. J. Appl. Math. 2014 (2014), Article ID 741892, 9 pages. doi:10.1155/2014/741892. https://projecteuclid.org/euclid.jam/1425305852


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