Real-time Target Tracking System by Extended Kalman Filter

확장칼만필터를 이용한 실시간 표적추적

  • 임양남 (전북대학교 대학원 기계공학과) ;
  • 이성철 (전북대학교 기계공학부, 자동차신기술연구소)
  • Published : 1998.07.01


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.