A temporal fusion algorithm for multi-sensor tracking in wide areas

Author

Wallart, O. ; Motamed, C. ; Benjelloun, M.

Author_Institution

Lab. ASL, Univ. de Littoral Cote d´´Opale, Calais, France

Volume

2

fYear

2000

fDate

10-13 July 2000

Abstract

Presents a distributed vision system for the tracking of mobile objects over wide areas. A temporal data fusion is used in order to improve the decision-making at the data association stage. The temporal fusion is performed with a possibilistic MHT (multiple hypothesis tracking). We have decided to use the possibility theory because it handles uncertainties efficiently. The originality of this MHT is the control of its development according to the online quality estimation of the data association based on a necessity measurement.

Keywords

computer vision; distributed sensors; image sensors; possibility theory; sensor fusion; tracking; data association; decision-making; development control; distributed sensors; distributed vision system; mobile objects; multi-sensor tracking; necessity measurement; online quality estimation; possibilistic multiple hypothesis tracking; possibility theory; temporal data fusion algorithm; uncertainty handling; wide areas; Airports; Decision making; Layout; Machine vision; Monitoring; Possibility theory; Road transportation; Sensor fusion; Surveillance; Voltage control;

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.2000.859877

Filename

859877