Abstract
In this paper we consider some possibilities for applying object oriented approach to developing Target Tracking (TT) programs. We examine one of the main parts of TT algorithms — track evaluation — and propose a structure of classes that may simplify and alleviate creating and testing TT programs. These classes implement tracks, and consist of data and methods describing track kinematics - vectors, matrices and filtering algorithms. The track hierarchy contains classes for Linear Kalman Filter, Extended Kalman Filter and Probabilistic Data Association Filter. An example shows how Interacting Multiple Model (IMM) filter can be implemented using objects of these classes.
The research reported in this paper is supported by Center of Excellence BIS21 grant ICA1-2000-70016.
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© 2003 Springer-Verlag Berlin Heidelberg
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Djerassi, E., Konstantinova, P. (2003). Tracking Algorithms Represented as Classes. In: Dimov, I., Lirkov, I., Margenov, S., Zlatev, Z. (eds) Numerical Methods and Applications. NMA 2002. Lecture Notes in Computer Science, vol 2542. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36487-0_31
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DOI: https://doi.org/10.1007/3-540-36487-0_31
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