Information fusion using particles intersection

Or Tslil; Avishy Carmi

Information fusion using particles intersection

Department of Mechanical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

A technique is presented for combining arbitrary empirical probability density estimates whose interdependencies are unspecified. The underlying estimates may be, for example, the particle approximations of a pair of particle filters. In this respect, our approach provides a way to obtain a new particle approximation, which is better in a precise information-theoretic sense than that of any of the particle filters alone. The viability of the proposed approach is demonstrated in a multiple object tracking scenario.

Original language	English
Pages	1888-1896
Number of pages	9
State	Published - 1 Jan 2018
Event	58th Israel Annual Conference on Aerospace Sciences, IACAS 2018 - Tel-Aviv and Haifa, Israel Duration: 14 Mar 2018 → 15 Mar 2018

Conference

Conference	58th Israel Annual Conference on Aerospace Sciences, IACAS 2018
Country/Territory	Israel
City	Tel-Aviv and Haifa
Period	14/03/18 → 15/03/18

ASJC Scopus subject areas

Aerospace Engineering
Space and Planetary Science

Cite this

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title = "Information fusion using particles intersection",

abstract = "A technique is presented for combining arbitrary empirical probability density estimates whose interdependencies are unspecified. The underlying estimates may be, for example, the particle approximations of a pair of particle filters. In this respect, our approach provides a way to obtain a new particle approximation, which is better in a precise information-theoretic sense than that of any of the particle filters alone. The viability of the proposed approach is demonstrated in a multiple object tracking scenario.",

author = "Or Tslil and Avishy Carmi",

note = "Funding Information: This research is supported by Israel Science Foundation Grant No. 1723/16 Publisher Copyright: {\textcopyright} 2018 Israel Annual Conference on Aerospace Sciences. All rights reserved.; 58th Israel Annual Conference on Aerospace Sciences, IACAS 2018 ; Conference date: 14-03-2018 Through 15-03-2018",

year = "2018",

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language = "English",

pages = "1888--1896",

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AU - Tslil, Or

AU - Carmi, Avishy

PY - 2018/1/1

Y1 - 2018/1/1

N2 - A technique is presented for combining arbitrary empirical probability density estimates whose interdependencies are unspecified. The underlying estimates may be, for example, the particle approximations of a pair of particle filters. In this respect, our approach provides a way to obtain a new particle approximation, which is better in a precise information-theoretic sense than that of any of the particle filters alone. The viability of the proposed approach is demonstrated in a multiple object tracking scenario.

AB - A technique is presented for combining arbitrary empirical probability density estimates whose interdependencies are unspecified. The underlying estimates may be, for example, the particle approximations of a pair of particle filters. In this respect, our approach provides a way to obtain a new particle approximation, which is better in a precise information-theoretic sense than that of any of the particle filters alone. The viability of the proposed approach is demonstrated in a multiple object tracking scenario.

UR - http://www.scopus.com/inward/record.url?scp=85048837638&partnerID=8YFLogxK

M3 - Paper

SP - 1888

EP - 1896

T2 - 58th Israel Annual Conference on Aerospace Sciences, IACAS 2018

Y2 - 14 March 2018 through 15 March 2018

ER -

Information fusion using particles intersection

Abstract

Conference

ASJC Scopus subject areas

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Cite this