The KIPS Transactions:PartB (정보처리학회논문지B)

Korea Information Processing Society (한국정보처리학회)
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Active Fusion Model with Robustness against Partial Occlusions

부분적 폐색에 강건한 활동적 퓨전 모델

  • 이중재 (숭실대학교 정보미디어기술연구소) ;
  • 이근수 (한경대학교 컴퓨터공학과) ;
  • 김계영 (숭실대학교 컴퓨터학부)
  • Published : 2006.02.01
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Abstract

The dynamic change of background and moving objects is an important factor which causes the problem of occlusion in tracking moving objects. The tracking accuracy is also remarkably decreased in the presence of occlusion. We therefore propose an active fusion model which is robust against partial occlusions that are occurred by background and other objects. The active fusion model is consisted of contour-based md region-based snake. The former is a conventional snake model using contour features of a moving object and the latter is a regional snake model which considers region features inside its boundary. First, this model classifies total occlusion into contour and region occlusion. And then it adjusts the confidence of each model based on calculating the location and amount of occlusion, so it can overcome the problem of occlusion. Experimental results show that the proposed method can successfully track a moving object but the previous methods fail to track it under partial occlusion.

이동 물체 추적에 있어서 배경과 이동 물체의 동적인 변화는 폐색이라는 문제를 발생시키는 중요한 원인이다. 그리고 이러한 폐색이 발생하는 환경에서는 이동 물체 추적의 정확도가 현저하게 감소한다 따라서 본 논문에서는 배경 또는 다른 물체에 의해 발생하는 부분적 폐색에 강건한 활동적 퓨전 모델을 제안한다. 활동적 퓨전 모델은 이동 물체의 경계선 특징을 기반으로 하는 전통적인 기존의 스네이크 모델과 경계선 내부의 영역 특징을 고려하는 영역 기반 스네이크 모델로 구성된다. 이것은 먼저 이동 물체에 발생하는 부분적 폐색의 종류를 윤곽선 폐색과 영역폐색으로 구분한 뒤 폐색이 발생하는 위치와 폐색량에 따라서 각 모델의 신뢰도를 조절함으로써 부분적 폐색문제를 극복한다. 실험 결과에서는 부분적으로 폐색이 발생하는 환경에서 기본 방법들이 이동물체 추적에 실패하는 반면에 제안하는 방법은 추적에 성공함을 보인다.

Keywords

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