The Multiple Model CPHD Tracker

被引：43

作者：

Georgescu, Ramona ^{[1
]}

Willett, Peter ^{[1
]}

机构：

[1] Univ Connecticut, Elect & Comp Engn Dept, Storrs, CT 06269 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2012年 / 60卷 / 04期

关键词：

Cardinalized probability hypothesis density filter; CPHD; MMCPHD; MMPHD; multiple model; PHD;

D O I：

10.1109/TSP.2012.2183128

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The probability hypothesis density (PHD) is a practical approximation to the full Bayesian multi-target filter. The cardinalized PHD (CPHD) filter was proposed to deal with the "target death" problem of the PHD filter. A multiple-model PHD exists; in this work, a multiple model version of the considerably more complex CPHD filter is derived. It is implemented using Gaussian mixtures, and a track management (for display and scoring) strategy is developed.

引用

页码：1741 / 1751

页数：11

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