Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Construction of moving object tracking framework with fuzzy clustering, prediction and Hausdorff distance

퍼지 군집, 예측과 하우스돌프 거리를 이용한 이동물체 추적 프레임워크 구축

  • 소영성 (명지대학교 정보통신공학과)
  • Published : 1998.04.01
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Abstract

In this paper, we present a parallel framework for tracking moving objects. Parallel framework consists largely of two parts:Search Space Reduction(SSR) and Tracking(TR). SSR is further composed of fuzzy clustering and prediction based on Kalman filter. TR is done by boundarymatching using the Hausdorff distance based on distance transform.

본 논문에서는 주어진 칼라 영상열을 분석하여 이동물체 추적을 할수 있는 병렬 프레임워크를 구축한다. 병렬 프레임워크는 크게 탐색 공간 축소 부분과 추적 부분으로 나뉘며 탐색 공간 축소 부분은 퍼지 클러스터링과 칼만 필터를 이용한 예측부분으로 구성되고 추적은 거리변환에 기반을 둔 하우스돌프 거리를 이용해 경계선 정합을 함으로써 이루어진다.

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References

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