Motion analysis for Home Surveillance of the Aged who Lives Alone based on Video Images

비디오 기반의 독거노인 위급 상황 탐지를 위한 행동 분석

  • 김영백 (경남대학교 컴퓨터공학부) ;
  • 이상용 (경남대학교 컴퓨터공학부)
  • Published : 2007.06.01


In this paper, motion analysis algorithm is presented for home surveillance of the aged who lives alone. For the first step, we acquire images from a camera. To enhance the image, we use median filtering and binarize it to reduce processing time. And then morphological operations are performed to remove small blobs and small holes. At the forth step, blobs are analysed to extracts tor foreground region. Then, motions are predicted from these images by using optical tlow technique, and the predicted motion data are refined by comparing our cardboard models so as to judge behavior pattern.


  1. 국립창원대학교 아동가족학과 노인문제 연구실: menu03.html
  2. A. Azarbayejani, C. Wren, and A. Pentland, 'Real-time 3-D tracking of the human body,' M.I.T Media laboratory Perceptual Computing Section Technical Report No. 374
  3. 박성현, '이동 카메라에 의한 이동 물체의 추적기법에 관한 연구,' 석사학위논문, 부산대학교, 2000
  4. B. K. P. Horn and B. G. Schunck, 'Determining optical flow,' Artif. Intell., vol. 17. no. 1-3, pp. 185-204, Aug. 1981
  5. I. Haritaoglu, D. Harwood and L. S. Davis, 'W4: Who? When? Where? What? A real time system for detection and tracking people,' International Confercnce On Face and Gesture Recognituion. 14-16, April 1998
  6. 김갑기, 김광인, 김항준,'신경망을 이용한 자동차 번호판 추출,' 한국 정보과학회 논문집 제 26 권 제 2 호, pp. 476-478, 10, 1999
  7. S. Ju, M. Black, Y. Yacoob. 'Cardboard people: A parameterized model of articulated image motion,' International conference on Face and Gesture Analysis. 1996
  8. V. I. Pavolovic, R. Sharma, and T. S. Hunag, 'Visual interpretation of hand gestures for human-computer interaction: A review,' IEEE Transaction on PAMI, vol. 19, no. 7, p. 677, July 1997
  9. I. Haritaoglu, D. Harwood and L. S. Davis, 'Ghost: A human body part labeling system using shilhouettes,' International Conference on Pattern Recognition, 1998
  10. J. Sherrah and S. Gong, 'VIGOUR: A system for tracking and recognition of multiple people and their activities,' Proc. ICPR. Barcelona Spain, vol. 1, pp. 179- 182, 2000
  11. D. M. Gavrila and L. S. Davis, 'Towards 3D modelbased tracking and recognition of human movement: a multi-view approach,' Int. Workshop on Face and Gesture Recognition, vol. 0000162479, pp. 272-277, 1995
  12. T. Watanabe and M. Yachida, 'Real time recognition of gesture and gesture degree information using multi input image sequence,' ICPR, vol. 1, p. 1855, 1998
  13. J. W. Davis, A. F. Bobic, 'The representation and recognition of action using temporal templates,' MIT Media Lan Technical Report 402, 1997

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