Development of the hopfield neural scheme for data association in multi-target tracking

Authors:
Yang Weon Lee
Affiliations:
Department of Information and Communication Engineering, Honam University, Gwangju, South Korea
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Year:
2006

Citing 1
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Adaptive data association for multi-target tracking using relaxation

ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I

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Abstract

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.