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—Faced with the growing population of seniors, developed countries need to establish new healthcare systems to ensure the safety of elderly people at home. Computer vision provides a promising solution to analyze personal behavior and detect certain unusual events such as falls. In this paper, a new method is proposed to detect falls by analyzing human(More)
Nowadays, Western countries have to face the growing population of seniors. New technologies can help people stay at home by providing a secure environment and improving their quality of life. The use of computer vision systems offers a new promising solution to analyze people behavior and detect some unusual events. In this paper, we propose a new method(More)
According to the demographic evolution in industrialized countries, more and more elderly people will experience falls at home and will require emergency services. The main problem comes from fall-prone elderly living alone at home. To resolve this lack of safety, we propose a new method to detect falls at home, based on a multiple-cameras network for(More)
Faced with the growing population of seniors, Western societies need to think about new technologies to ensure the safety of elderly people at home. Computer vision provides a good solution for healthcare systems because it allows a specific analysis of people behavior. Moreover, a system based on video surveillance is particularly well adapted to detect(More)
In Western countries, the growing population of seniors brings us to think about new healthcare systems to ensure the safety of elderly people at home. Falls are one of the greatest risk for seniors living alone. Computer vision provides a promising solution to analyze people behavior and detect some unusual events like falls. In this paper, we propose to(More)
Faced with the growing population of seniors, developed countries need to develop new healthcare systems to help elderly people staying at home in a secure environment. Falls are one of the major risk for seniors living alone at home, causing severe injuries. Computer vision provides a new and promising solution for fall detection. The number of works on(More)
Today, different ways are suggested to help elderly people in case of emergency. Our aim here is to propose a novel method, without any wearable device, to detect falls on the floor with a multiple cameras system. This proposal uses image analysis to localise people and reconstruct their 3D shape and position. The particularity of this contribution is the(More)
We explored the perception and receptivity of elderly people regarding the introduction of an intelligent videomonitoring system (IVS) at home. Using a mixed methods design, 25 elderly people with a history of falls completed a structured interview (two questionnaires). In the year preceding the interview, 72% of the participants fell as many as seven(More)
In the context of the growing proportion of seniors in the western world population and the efforts provided in home care services, we have developed a computer vision system for monitoring medication intake. The system detects automatically medication intake using a single low-cost webcam. Person detection and tracking over the video sequence is done using(More)