| Popis: |
The present paper describes a new indoor surveillance system for detection of an accident, such as fall or fit, happened to an aged single person. This system uses two types of cameras. One of them is the omni-directional image sensor for the tracking of the person’s position and detection of fall, and another is the controllable camera for capturing the detail of the person’s condition. The system detects points of the person’s head in images captured by some omni-directional image sensors, firstly. Then, a position of the person’s head in a room is computed from the points of person’s head in the images. When the person stops, the system classifies the person's pose into standing, sitting or lying according to the person's height. Then, the system judges that the accident has happened or not from the person’s pose, position and action. We made a prototype system with three omni-directional image sensors and a controllable camera. Then, we set the system in our laboratory’s room and experimented with the system. The implemented system detected the person’s position with the frame rate of 6 fps. In experiments, the error of position detection was 18 cm on the average. The error didn’t give serious influence to the control of the controllable camera. The error of height estimation was 6.9 cm. The conditions played by subjects were distinguished correctly. |
