Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Infrared Image Based Human Victim Recognition for a Search and Rescue Robot

수색 구조 로봇을 위한 적외선 영상 기반 인명 인식

  • Park, Jungkil (Division of Electronics and Information Engineering, Chonbuk National University) ;
  • Lee, Geunjae (Division of Electronics and Information Engineering, Chonbuk National University) ;
  • Park, Jaebyung (Division of Electronics and Information Engineering, Chonbuk National University)
  • 박정길 (전북대학교 전자정보공학부) ;
  • 이근재 (전북대학교 전자정보공학부) ;
  • 박재병 (전북대학교 전자정보공학부)
  • Received : 2016.01.04
  • Accepted : 2016.02.17
  • Published : 2016.04.01
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Abstract

In this paper, we propose an infrared image based human victim recognition method for a search and rescue robot in dark environments, like general disaster situations. For recognizing a human victim, an infrared camera on a RGB-D camera, Microsoft Kinect, is used. The contrast and brightness of the infrared image are first improved by histogram equalization, and the noise on the image is removed by morphological operation and Gaussian filtering. For recognizing a human victim, the binarization and blob labeling methods are applied to the improved image. Finally, for verifying the effectiveness and feasibility of the proposed method, an experiment for human victim recognition is carried out in a dark environment.

Keywords

References

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