The authors present an algorithm for the tracking of crossing targets using the centroid measurement and the centroid offset measurement of the distributed image formed by the targets. The measurements are obtained by a forward-looking infrared (FLIR) imaging sensor. The joint probabilistic data association merged-measurement coupled filter (JPDAMCF) is used for state estimation which performs filtering in a coupled manner for the targets with common measurements. Two filters are examined: one assuming the displacement noise white and the other one modeling it correctly as autocorrelated. The latter is shown to yield substantially better performance. The proposed algorithm demonstrates the usefulness of the JPDAMCF for tracking crossing targets in combination with the models for the centroid and offset measurements. Even though the centroid offset measurement requires more computations and a more complex model for estimation, it yields significantly better results if the filter accounts for its colored measurement noise.<>
Tracking of crossing targets with imaging sensors
IEEE Transactions on Aerospace and Electronic Systems ; 27 , 4 ; 582-592
1991-07-01
767873 byte
Article (Journal)
Electronic Resource
English
6.0801 Tracking Targets with Self-Organizing Distributed Ground Sensors
British Library Conference Proceedings | 2003
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