An efficient camera-based surveillance for fall detection of elderly people
Việt Dũng Nguyễn, Thao Minh Le, Anh Duc Do, Hoang Hai Duong, Toan Dat Thai, Duc Hoa Tran · 2014
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% .