Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)
- Volume 33B Issue 6
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- Pages.186-197
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- 1996
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- 1016-135X(pISSN)
A Study on the Optimal Data Association in Multi-Target Tracking by Hopfield Neural Network
홉필드 신경망을 이용한 다중 표적 추적이 데이터 결합 최적화에 대한 연구
- Lee, Yang-Weon (Honam University) ;
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Jeong, Hong
(Pohang University of Science and Technology)
- Published : 1996.06.01
Abstract
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.
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