대한전기학회논문지:전력기술부문A (The Transactions of the Korean Institute of Electrical Engineers A)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

복잡한 배경에서 움직이는 물체의 영역분할에 관한 연구

A Segmentation Method for a Moving Object on A Static Complex Background Scene.

  • 박상민 (숭실대 공대 전자공학과 석사) ;
  • 권희웅 (숭실대 공대 전자공학과) ;
  • 김동성 (숭실대 공대 정보통신전자공학부) ;
  • 정규식 (숭실대 공대 정보통신전자공학부)
  • 발행 : 1999.03.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Moving Object segmentation extracts an interested moving object on a consecutive image frames, and has been used for factory automation, autonomous navigation, video surveillance, and VOP(Video Object Plane) detection in a MPEG-4 method. This paper proposes new segmentation method using difference images are calculated with three consecutive input image frames, and used to calculate both coarse object area(AI) and it's movement area(OI). An AI is extracted by removing background using background area projection(BAP). Missing parts in the AI is recovered with help of the OI. Boundary information of the OI confines missing parts of the object and gives inital curves for active contour optimization. The optimized contours in addition to the AI make the boundaries of the moving object. Experimental results of a fast moving object on a complex background scene are included.

키워드

참고문헌

  1. IEEE Trans. PAMI v.6 no.5 Segmentation of frame sequences obtained by a moving observer R. C. Jane
  2. Pattern Recognition v.20 no.1 Human body motion segmentation in a complex scene M. K. Leung;Y. Yang
  3. SPIE Proc. of Visual Communications and Image Processing '97 v.3024 Automatic Object and Background Segmentation by means of Higher Order Statistics A. Neri
  4. IEEE Trans. PAMI v.16 no.11 Segmenting Simply Connected Moving Objects in a Static Scene M. Bichsel
  5. IEEE Trans. PAMI v.19 no.7 Pfinder: Real Time Tracking of the Human Body C. R. Wren
  6. Pattern Recognition Letters 16 An Image Detection Technique Based On Morphological Edge Detection And Backgroud Differencing For Real-Time Traffic Analysis M. Fathy;M. Y. Siyal
  7. SPIE Proc. of Visual Communications and Image Processing '96 v.2727 Moving Object Discrimination and Tracking for Unmanned Surveillance System Y. H. Kim
  8. 제10회 신호처리합동학술대회 논문집 v.10 no.1 카메라의 흔들림을 고려한 무인 감시 알고리즘 김희태;임준석
  9. 한국 통신학회 논문지 v.21 no.10 다단계 결합을 위한 이동 물체분리 알고리즘에 관한 연구 안용학;이정헌;채옥삼
  10. MIT Media Laboratory Perceptual Computing Section Technical Report NO. 437 Fast Lighting Independent Background Subtraction Y. Ivanov;A. Bobick
  11. Digital Image Processing R. C. Gonzalez
  12. IEEE Trans. PAMI v.8 no.6 A Computational Approach to Edge Detection J. Canny
  13. Pattern Recognition v.30 no.12 A Multiscale Gradient Algorithm For Image segmentation Using Watersheds D. Wang
  14. 신호처리 합동 학술대회 논문집 v.11 no.1 복잡한 배경에서 움직이는 물체의 영역 분할 방법 박상민;권희웅;김동성;정규식
  15. Proc. of ACCV 93 Snake Using a Sample Contour Model A. Amano;Y. Sakaguchi
  16. International Journal Of Computer Vision Snakes: Active Contour Model M. Kass;A. Witkin
  17. CVGIP Image Understanding v.55 no.1 A Fast Algorithm for Active Contours and Curvature Estimation D. J. Williams;M. Shah