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

The Institute of Electronics and Information Engineers (대한전자공학회)
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Omni-directional Surveillance and Motion Detection using a Fish-Eye Lens

어안 렌즈를 이용한 전방향 감시 및 움직임 검출

  • Cho, Seog-Bin (Department of Electronics Engineering Pusan National University) ;
  • Yi, Un-Kun (Department of Fire Protection and Safety Engineering, Busan Kyungsang College) ;
  • Baek, Kwang-Ryul (Department of Electronics Engineering Pusan National University)
  • 조석빈 (부산대학교 전자공학과) ;
  • 이운근 (부산경상대학 소방안전관리과) ;
  • 백광렬 (부산대학교 전자공학과)
  • Published : 2005.09.25
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Abstract

In this paper, we developed an omni-directional surveillance and motion detection method. The fish-eye lens provides a wide field of view image. Using this image, the equi-distance model for the fish-eye lens is applied to get the perspective and panorama images. Generally, we must consider the trade-off between resolution and field of view of an image from a camera. To enhance the resolution of the result images, some kind of interpolation methods are applied. Also the moving edge method is used to detect moving objects for the object tracking.

일반적인 카메라의 시야는 사람에 비하여 매우 좁기 때문에 큰 물체를 한 화면으로 얻기 힘들며, 그 움직임도 넓게 감시하기에 어려움 점이 많다. 이에 본 논문에서는 어안 렌즈(Fish-Eye Lens)를 사용하여 넓은 시야의 영상을 획득하고 전방향 감시를 위한 투시(perspective) 영상과 파노라마(panorama) 영상을 복원하는 방법을 제시한다. 영상 변환 과정에서 어안 렌즈의 특성으로 인한 해상도 차이를 보완하기 위하여 여러 가지 영상 보간법을 적용하고 결과를 비교하였다. 그리고 ME(Moving Edge) 방법으로 움직임을 검출하여 다중 물체를 추적할 수 있도록 하였다.

Keywords

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