Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2008
Session Number:P1
Session:
Number:P1-51
Recognition of Fainting Motion from Fish-eye Lens Camera Images
In-Mi So, Dae-Kyung Han, Sun-Kyung Kang, Young-Un Kim, Sung-Tae Jung,
pp.-
Publication Date:2008/7/7
Online ISSN:2188-5079
Summary:
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 forground 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.