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.<>
Multitarget detection using Kalman-based average displacement estimator
IEEE Transactions on Aerospace and Electronic Systems ; 29 , 4 ; 1195-1203
01.10.1993
1222113 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Multitarget Detection Using Kalman-Based Average Displacement Estimator
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