Target Tracking 2004: Algorithms and Applications

fYear

2004

fDate

23-24 March 2004

Keywords

Bayes methods; Doppler radar; H^∞ control; Kalman filters; Markov processes; Monte Carlo methods; computer vision; direction-of-arrival estimation; infrared detectors; maximum likelihood detection; military radar; radar clutter; radar detection; radar imaging; radar target recognition; radar tracking; seismic waves; sensor fusion; surveillance; synthetic aperture radar; target tracking; tracking filters; video signal processing; Bayesian algorithm; H-infinity approach; Kalman filters; Monte Carlo simulation; a priori performance prediction; agile radars; anti-air-warfare frigates; bearings only tracking; cluttered synthetic aperture radar imagery; data fusion; false track rate control; jump Markov nonlinear systems; manoeuvring targets; maximum likelihood methods; multicamera object tracking; multiple hypothesis confirmation; multiple scan joint probabilistic data association; multiple target tracking; multisensor tracking; multisensor tracking system; particle filter; particle filtering; passive infrared data; pulse radar; radar tracking; radar/Esm track association; seismic waves; spurious measurements; target detection; target recognition; tracking filters; video surveillance; vision-based applications;

fLanguage

English

Publisher

iet

Conference_Titel

Target Tracking 2004: Algorithms and Applications, IEE

Conference_Location

IET

ISSN

0537-9989

Print_ISBN

0-86341-397-8

Type

conf

Filename

1340426