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Development of a Fall Detection System Using Fish-eye Lens Camera

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2008, 13(4), pp.97-104
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

소인미 1 Dae-Kyung Han 1 Kang Sun-Kyung 1 김영운 1 Jung, Sung-Tae 1

1원광대학교

Accredited

ABSTRACT

This study is to present a fainting motion recognizing method by using fish-eye lens images to sense emergency situations. The camera with fish-eye lens located at the center of the ceiling of the living room sends images, and then the foreground pixels are extracted by means of the adaptive background modeling method based on the Gaussian complex model, which is followed by tracing of outer points in the foreground pixel area and the elliptical mapping. During the elliptical tracing, the fish-eye lens images are converted to fluoroscope images, the size and location changes, and moving speed information are extracted to judge whether the movement, pause, and motion are similar to fainting motion. The results show that compared to using fish-eye lens image, extraction of the size and location changes, and moving speed by means of the conversed fluoroscope images has good recognition rates.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.