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Toyon has provided extensive 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 theoretically rigorous approaches to quantify
the probability of each possible association hypothesis using both the
kinematic and signature information.
Toyon has demonstrated the benefits of such algorithms
to both improve the quality of track identity estimates and extend the lifetime
of tracks in challenging tracking environments. 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.
Toyon's Tracked Object
Manager (TOM) algorithm is an example of our unique approach to
feature-aided tracking.
For more information regarding Toyon's Feature-Aided Tracking capabilities,
please send queries to algorithms@toyon.com.
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