Fall detection using multiple cameras

被引：20

作者：

Auvinet, Edouard ^{[1
]}

Reveret, Lionel

St-Arnaud, Alain

Rousseau, Jacqueline

Meunier, Jean ^{[1
]}

机构：

[1] Univ Montreal, Inst Genie Biomed, Montreal, PQ H3C 3J7, Canada

来源：

2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 | 2008年

关键词：

D O I：

10.1109/IEMBS.2008.4649721

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页码：2554 / +

页数：2

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