Since falls are a major public health problem among older people, the number of systems
aimed at detecting them has increased dramatically over recent years. This work presents …

Falls and fall-related injuries are major incidents, especially for elderly people, which often
mark the onset of major deterioration of health. More than one-third of home-dwelling people …

Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall
detectors are typically based on wearable devices, and the elderly often forget to wear them …

One of the biggest challenges in modern societies is the improvement of healthy aging and
the support to older persons in their daily activities. In particular, given its social and …

Fall detection is a major challenge in the public health care domain, especially for the
elderly, and reliable surveillance is a necessity to mitigate the effects of falls. The technology …

This paper presents a novel fall detection system based on the Kinect sensor. The system
runs in real-time and is capable of detecting walking falls accurately and robustly without …

Falls are one of the major causes leading to injury of elderly people. Using wearable
devices for fall detection has a high cost and may cause inconvenience to the daily lives of …

This paper presents an efficient activity recognition and fall detection system (ARFDNet).
Here, the raw RGB videos are passed to a pose estimation network to extract skeleton …

Fall events are one of the greatest risks for public safety, especially in some complex scenes
with large number of people. Nevertheless, there are few researches on fall detection in …

In this paper, we present a novel anomaly detection framework which integrates motion and
appearance cues to detect abnormal objects and behaviors in video. For motion anomaly …