Development of the Hopfield Neural Scheme for Data Association in Multi-target Tracking
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.
KeywordsData Association Neural Network Prob Neural Network Approach Posteriori Probability Probabilistic Data Association
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