Decision Level Fusion: An Event Driven Approach

被引：0

作者：

Roheda, Siddharth ^{[1
]}

Krim, Hamid ^{[1
]}

Luo, Zhi-Quan ^{[2
]}

Wu, Tianfu ^{[1
]}

机构：

[1] North Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC 27695 USA

[2] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN USA

来源：

2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2018年

关键词：

Sensor Fusion; Decision Level Fusion; Event based Classification; Coupling;

D O I：

暂无

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：

This paper presents a technique that combines the occurrence of certain events, as observed by different sensors, in order to detect and classify objects. This technique explores the extent of dependence between features being observed by the sensors, and generates more informed probability distributions over the events. Provided some additional information about the features of the object, this fusion technique can outperform other existing decision level fusion approaches that may not take into account the relationship between different features.

引用

页码：2598 / 2602

页数：5

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