Multitarget detection using Kalman-based average displacement estimator

Author

Viswanath, Harsha C. ; Jones, Richard A.

Author_Institution

National Semiconductor Corp., Santa Clara, CA, USA

Volume

29

Issue

4

fYear

1993

fDate

10/1/1993 12:00:00 AM

Firstpage

1195

Lastpage

1203

Abstract

The anomaly in the displacement estimates obtained from a low-level Kalman-based average displacement estimator is used to detect multiple targets in a forward-looking infrared (FLIR) scene. The displacement estimates originating from the targets could be associated with the detected multiple targets and an updated estimated position of the target could be obtained. This procedure could be repeated for all targets in the scene to obtain multitarget tracking. The behavior of the expected value of the displacement estimates as a function of the number of iterations is investigated. The behavior of the displacement error covariance matrix and the Kalman gain matrix are discussed as functions of the number of iterations

Keywords

Kalman filters; State estimation; displacement measurement; image processing; infrared imaging; iterative methods; matrix algebra; optical radar; signal detection; state estimation; tracking systems; (FLIR; Kalman gain matrix; Kalman-based average displacement estimator; detected multiple targets; displacement error covariance matrix; forward looking IR scene; iterations; multitarget detection; multitarget tracking; updated estimated position; Acceleration; Covariance matrix; Image motion analysis; Infrared detectors; Kalman filters; Layout; Motion estimation; Motion measurement; Optical filters; Target tracking;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.259522

Filename

259522