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Tracking Algorithms Represented as Classes

  • Emanuil Djerassi
  • Pavlina Konstantinova
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2542)

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.

Keywords

Tracking Algorithm Target Track Virtual Function Probabilistic Data Association Virtual Void 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Emanuil Djerassi
    • 1
  • Pavlina Konstantinova
    • 1
  1. 1.Central Laboratory for Parallel ProcessingBulgarian Academy of SciencesSofiaBulgaria

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