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Extended Target Shape Estimation by Fitting B-Spline Curve
Author(s) -
Jinlong Yang,
Peng Li,
Hongwei Ge
Publication year - 2014
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2014/741892
Subject(s) - spline (mechanical) , b spline , algorithm , statistic , mathematics , curve fitting , computer science , frame (networking) , artificial intelligence , statistics , mathematical analysis , telecommunications , structural engineering , engineering
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

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