Fall is an unusual activity and it is a serious problem among the elderly people. In the
proposed system, we present an automatic approach for detecting and recognizing falls of …

In this paper we present a method for real-time detection of human fall from video for support
of elderly people living alone in their homes. The detection algorithm has four steps …

Fall Detection is an important challenge in the field of healthcare. Especially for elderly
people who live alone. Therefore, reliable surveillance to reduce the effects of falls is an …

Statistical studies show that around 28-35% of older people aged 65 and over fall each year.
This percentage increases to 32-42% among those over 70 years of age. These figures …

An increase in population of elderly people living in isolated environments, leads to the
need for an automated monitoring system. Fall is one of the major reasons for death of …

Every year, thousands of elderly people are victim of a fall incident. Sometimes with severe
consequences such as hip fractures or even death but, in many cases, the main problem is …

In this paper, we present a human fall detection method from visual surveillance. In first step,
background subtraction is performed using Improved GMM to find the foreground objects. In …

The system is specially developed for elderly people living alone in their homes. A novel
method for detection of fall in home environment is presented. Video clips of certain duration …

The intention of this paper is to present a novel systems have been providing applications
for human tracing, method for real-time detection of human fall from the real-activity …

The growing population of seniors leads to the need for an intelligent surveillance system to
ensure the safety of the elders at home. Fall is one kind of the most seriously life-threatening …