Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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Stereo 3 mm Millimeter Wave Imaging for Distance Estimation to Concealed Objects

스테레오 3mm 밀리미터파 영상을 이용한 은닉물체의 거리추정에 관한 연구

  • Yeom, Seokwon (School of Computer and Communication Engineering, Daegu University)
  • 염석원 (대구대학교 정보통신공학부)
  • Received : 2017.04.01
  • Accepted : 2017.05.31
  • Published : 2017.06.30
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Abstract

Passive millimeter wave (MMW) imaging penetrates clothing to detect concealed objects. The distances extraction to the concealed objects is critical for the security and defense. In this paper, we address a passive stereo 3 mm MMW imaging system to extract the longitudinal distance to the concealed object. The concealed object area is segmented and extracted by the k-means clustering algorithm with splitting initialization. The distance to the concealed object is estimated by the corresponding centers of the segmented objects. In the experimental two pairs (each pair for horizontal and vertical polarization) of stereo MMW images are obtained to estimate distances to concealed objects.

밀리미터파 영상시스템은 위험한 은닉 물체를 탐지하는 분야에 활용되고 있다. 능동형 시스템은 외부 RF 신호원이 필요하지만 수동형은 인체와 물체의 온도차에 의한 흑체복사 성질을 이용하므로 실내외에서 사용이 가능하다. 그러나 일반적으로 수동형 밀리미터파 영상은 온도분해능과 신호레벨이 낮고 잡음의 영향이 크다. 본 논문에서 은닉 물체까지의 거리 추정을 위한 수동형 스테레오 3mm 밀리미터파 영상에 관한 연구를 수행한다. 수평, 수직 편광 밀리미터파 영상시스템에서 획득한 두 쌍의 스테레오 영상을 이용하여 은닉물체를 k-means 클러스터링 알고리즘으로 몸체영역과 분할하고 물체의 중심 위치를 이용하여 거리를 추정한다. 실험에서 성공적으로 거리를 추정할 수 있음을 확인한다.

Keywords

References

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