Decision level fusion: An event driven approach

Siddharth Roheda, Hamid Krim, Zhi Quan Luo, Tianfu Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publication2018 26th European Signal Processing Conference, EUSIPCO 2018
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages2598-2602
Number of pages5
ISBN (Electronic)9789082797015
DOIs
StatePublished - Nov 29 2018
Event26th European Signal Processing Conference, EUSIPCO 2018 - Rome, Italy
Duration: Sep 3 2018Sep 7 2018

Publication series

NameEuropean Signal Processing Conference
Volume2018-September
ISSN (Print)2219-5491

Other

Other26th European Signal Processing Conference, EUSIPCO 2018
CountryItaly
CityRome
Period9/3/189/7/18

Keywords

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

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  • Cite this

    Roheda, S., Krim, H., Luo, Z. Q., & Wu, T. (2018). Decision level fusion: An event driven approach. In 2018 26th European Signal Processing Conference, EUSIPCO 2018 (pp. 2598-2602). [8553412] (European Signal Processing Conference; Vol. 2018-September). European Signal Processing Conference, EUSIPCO. https://doi.org/10.23919/EUSIPCO.2018.8553412