전자공학회논문지A (Journal of the Korean Institute of Telematics and Electronics A)
- 제31A권3호
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- Pages.1-9
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- 1994
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- 1016-135X(pISSN)
광 BJTC와 신경회로망을 이용한 광-신경망 다중 표적 추적 시스템
Optoneural Multitarget Tracking System Based on Optical BJTC and Neural Networks
초록
In this paper as a new approach for real-time multitarget tracking, a hybrid OptoNeural multitarget tracking system based on optical BJTC and neural networks data association algorithm is suggested. In the proposed hybrid tracking system, an optical BJTC is introduced as a preprocessor to reduce the massive input target data into a few correlation peak signals and then the neural networks data association algorithm is used for the massively parallel data association between measurement signals and targets in real-time. Finally, new hybrid type OptoNeural target tracking system is constructed and then some experimental results on multitarget tracking is included. The real-time implementation method of the proposed hybrid system is also discussed.
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