Development of the Hopfield Neural Scheme for Data Association in Multi-target Tracking

  • Yang Weon Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3971)


The neural scheme for data association in multi-target environment is proposed. This scheme is derived by using the Lyapunov energy function and is important in providing a computationally feasible alternative to complete enumeration of JPDA which is intractable. Through the experiments, we show that the proposed scheme is stable and works well in general environments.


Data Association Neural Network Prob Neural Network Approach Posteriori Probability Probabilistic Data Association 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yang Weon Lee
    • 1
  1. 1.Department of Information and Communication EngineeringHonam UniversityGwangjuSouth Korea

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