Fall down detection for surveillance system of health care

Since the world technology grows faster and faster, the people is becoming much more health than ever before, thus getting longer of living age. On the other hand however, the rising number of elderly people also course the problem such as the aging of population. One case is that the population of elderly who live alone is increasing and more assistance should support on the situation the health care resource is less. Thus we proposed the surveillance system to apply for this situation. This paper focuses on the surveillance system which focuses on the individual house to detect the unmoral behavior such as falling down when elderly people lives alone. And comparing with the most popular methodology such as Aspect Ratios, the method we proposed has conquered its weakness and performed will in most situations.