Name
Title | ||
|---|---|---|
Real time tracking and detection of unusual circumstances of elderly people with RGB-d camera. |
Abstract | ||
|---|---|---|
In this paper, a real-time system, that monitors on home-alone elderly or sick people and produces an alarm whenever they act unusual like falling or fainting via RGB-d camera as surveillance, is designed and developed. In order to check person's state whether s/he is standing, sitting or laying down horizontally, skeleton information that is collected by RGB-d camera is used. To determine if person was fallen or not, instant change of joints' X and Y coordinates, that are saved in skeleton information, are evaluated. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/SIU.2013.6531460 | Signal Processing and Communications Applications Conference |
Keywords | Field | DocType |
RGB-d cameras,fall detection | Computer vision,Object detection,Computer science,ALARM,Video tracking,RGB color model,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
2165-0608 | 1 | 0.35 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elif Bektuzun | 1 | 1 | 0.35 |
| Yigit S. Kucuksoz | 2 | 1 | 0.35 |
| M. Elif Karsligil | 3 | 73 | 13.69 |