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Toyon has provided extensive tracking research in
the domain of feature-aided tracking algorithms that exploit the dependence
between the kinematic and signature information in sensor data. Toyon's feature-aided
trackers employ a theoretically rigorous approach that quantifies the probability
of each possible association hypothesis using both the kinematic and signature
information.
Our approach has been shown to perform well when limited a priori
sensor signature data is available, which is often the case in the realistic
situation where the signature database is populated "on-the-fly". Moreover,
Toyon's feature-aided trackers have been designed to work with a wide variety
of data classifiers and Automatic Target Recognition (ATR) algorithms.
For more information regarding Toyon?s Feature-Aided Tracking capabilities,
please send queries to ksullivan@toyon.com.
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