@article{ref1,
title="Fall detection using multiple cameras",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2008",
author="Auvinet, Edouard and Reveret, Lionel and St-Arnaud, Alain and Rousseau, Jacqueline and Meunier, J.",
volume="1",
number="",
pages="2554-2557",
abstract="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 use of cameras sharing a large common field of view. Experimental results obtained with 14 different fall scenarios and 14 normal daily activities showed a 100% fall detection efficiency.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="",
url="http://dx.doi.org/"
}