Journal of the Institute of Electronics Engineers of Korea SP (대한전자공학회논문지SP)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Object Detection in a Still FLIR Image using Intensity Ranking Feature

밝기순위 특징을 이용한 적외선 정지영상 내 물체검출기법

  • Park Jae-Hee (Division of EE, Department of EECS, Korea Advanced Institute of Science and Technology) ;
  • Choi Hak-Hun (Division of EE, Department of EECS, Korea Advanced Institute of Science and Technology) ;
  • Kim Seong-Dae (Division of EE, Department of EECS, Korea Advanced Institute of Science and Technology)
  • 박재희 (한국과학기술원 전자전산학과 전기 및 전자공학) ;
  • 최학훈 (한국과학기술원 전자전산학과 전기 및 전자공학) ;
  • 김성대 (한국과학기술원 전자전산학과 전기 및 전자공학)
  • Published : 2005.03.01
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Abstract

In this paper, a new object detection method for FLIR images is proposed. The proposed method consists of intensity ranking feature and a classification algerian using the feature. The intensity ranking feature is a representation of an image, from which intensity distribution is regularized. Each object candidate region is classified as object or non-object by the proposed classification algorithm which is based on the intensity ranking similarity between the candidate and object training images. Using the proposed algorithm pixel-wise detection results can be obtained without any additional candidate selection algorithm. In experimental results, it is shown that the proposed ranking feature is appropriate for object detection in a FLIR image and some vehicle detection results in the situation of existing noise, scale variation, and rotation of the objects are presented.

본 논문에서는 적외선 영상에서 밝기변화를 예측하기 어려운 일정한 크기의 관심 물체를 검출하기 위하여, 밝기순위 특징과 이론 이용한 물체식별기법을 제안한다. 제안하는 밝기순위 특징은 밝기값의 분포가 균일하도록 영상을 정규화하여 나타낸 것으로, 적외선 영상과 같이 검출대상 물체의 밝기분포를 쉽게 예측하기 어려운 경우에 적합한 특징이다. 제안하는 식별기법은 주어진 후보영역이 검출대상 물체의 학습영상들에 대해 밝기순위가 부합하는 정도를 수치화하여 각각의 후보영역을 물체와 비물체로 식별한다 제안하는 기법을 통하여 별도의 후보영역 선정과정 없이도 일정한 크기의 관심 물체에 대해 화소단위의 검출결과를 획득할 수 있다. 실험에서는 적외선 자동차 영상을 이용하여 밝기순위특징이 적외선 영상 내 물체식별에 적합함을 보이고, 잡음 및 물체의 크기변화, 기울어짐이 존재하는 상황에서의 검출결과를 보인다.

Keywords

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