An efficient camera-based surveillance for fall detection of elderly people

Falls and consequent injuries among the elderly population are major public health problems that often require medical attention. Every year, the world has more than 30% of people aged over 65 fall and most of them could not stand up without assistance promptly. The long laying makes the injury even more seriously. A system of monitoring the status of the elderly based on image processing technology can help mitigate this situation. This paper proposes an efficient camera-based fall detection system for senior people. We present our preliminary results in our effort to create an emergency alarming system for fall detection aiming at simple, real-time response and high performance. Images from the camera are processed by computer. Status of elderly persons are detected based on combination of two features: aspect ratio and fall angle. Remarkable accuracy rate of the system is as much as 92.5%