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Development of a Vision Based Fall Detection System For Healthcare

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(6), pp.279-288
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

소인미 1 Kang Sun-Kyung 1 Jung, Sung-Tae 1 김영운 1 이지근 1

1원광대학교

Candidate

ABSTRACT

This paper proposes a method to detect fall action by using stereo images to recognize emergency situation. It uses 3D information to extract the visual information for learning and testing. It uses HMM(Hidden Markov Model) as a recognition algorithm. The proposed system extracts background images from two camera images. It extracts a moving object from input video sequence by using the difference between input image and background image. After that, it finds the bounding rectangle of the moving object and extracts 3D information by using calibration data of the two cameras. We experimented to the recognition rate of fall action with the variation of rectangle width and height and that of 3D location of the rectangle center point. Experimental results show that the variation of 3D location of the center point achieves the higher recognition rate than the variation of width and height.

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