Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Moving Object Detection Robust to Sudden illumination Change using Modified Texture Information

개선된 텍스쳐 정보를 이용한 갑작스러운 조명 변화에 강인한 이동 물체 탐지

  • O, Yoe-Han (Department of Electrical Engineering and Computer Science, College of Engineering, Seoul National University Automation and System Research Institute (ASRI)) ;
  • Chang, Hyung-Jin (Department of Electrical Engineering and Computer Science, College of Engineering, Seoul National University Automation and System Research Institute (ASRI)) ;
  • Kim, Soo-Wan (Department of Electrical Engineering and Computer Science, College of Engineering, Seoul National University Automation and System Research Institute (ASRI)) ;
  • Choi, Jin-Young (Department of Electrical Engineering and Computer Science, College of Engineering, Seoul National University Automation and System Research Institute (ASRI))
  • 오요한 (서울대학교 공과대학 전기.컴퓨터공학부 자동화시스템 공동연구소) ;
  • 장형진 (서울대학교 공과대학 전기.컴퓨터공학부 자동화시스템 공동연구소) ;
  • 김수완 (서울대학교 공과대학 전기.컴퓨터공학부 자동화시스템 공동연구소) ;
  • 최진영 (서울대학교 공과대학 전기.컴퓨터공학부 자동화시스템 공동연구소)
  • Published : 2008.10.31
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Abstract

Moving object detection is a fundamental technique in visual surveillance. Robust technique to enhance performance of moving object detection is required for several bad conditions in real external circumtance. In case of sudden illumination change in outdoor condition, many objects are determined as moving object though they are not really moving, but just their illumination changes. This makes the detection result untrustworthy. In this paper, robust moving object detection to sudden illumination change using gaussian mixture background model and new texture information using background from the weighted sum of recent images is proposed.

Keywords