홉필드 신경망을 이용한 다중 표적 추적이 데이터 결합 최적화에 대한 연구

A Study on the Optimal Data Association in Multi-Target Tracking by Hopfield Neural Network

A multiple target tracking (MTT) problem is to track a number of targets in clusttered environment, where measurements may contain uncertainties of measurement origin due to clutter, missed detection, or other targets, as well as measurement noise errors. Hence, an MTT filter should be introduced to resolve this problem. In this paper, a neural network is rpoposed as an MTT filter.