한국정밀공학회지 (Journal of the Korean Society for Precision Engineering)
- 제15권7호
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- Pages.175-181
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- 1998
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- 1225-9071(pISSN)
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- 2287-8769(eISSN)
확장칼만필터를 이용한 실시간 표적추적
Real-time Target Tracking System by Extended Kalman Filter
초록
This paper describes realtime visual tracking system of moving object for three dimensional target using EKF(Extended Kalman Filter). We present a new realtime visual tracking using EKF algorithm and image prediction algorithm. We demonstrate the performance of these tracking algorithm through real experiment. The experimental results show the effectiveness of the EKF algorithm and image prediction algorithm for realtime tracking and estimated state value of filter, predicting the position of moving object to minimize an image processing area, and by reducing the effect by quantization noise of image.