DocumentCode
353945
Title
Random sets in data fusion: formalism to new algorithms
Author
Mori, Shozo
Author_Institution
Inf. Extraction & Transp. Inc., Arlington, VA, USA
Volume
1
fYear
2000
fDate
10-13 July 2000
Abstract
Although a connection between multi-object tracking and random set theory was recognized during the course of the development of multi-hypothesis tracking algorithms, it was only recently that such a connection started to be discussed based on random set theory and to be related to several algorithms based on it. This paper describes a random set formalism of a general theory of multiple object tracking, and discusses recent developments in both theory and applications in an attempt to explore further applications of random set theory to data fusion.
Keywords
random processes; sensor fusion; set theory; state estimation; tracking; algorithms; data fusion; multi-hypothesis tracking algorithms; multiple object tracking; random set theory; Chaos; Data mining; Density functional theory; History; Probability distribution; Random sequences; Set theory; State estimation; State-space methods; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location
Paris, France
Print_ISBN
2-7257-0000-0
Type
conf
DOI
10.1109/IFIC.2000.862690
Filename
862690
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