Intelligent computer vision processing techniques for fall detection in enclosed environments

Detecting unusual movement (falls) for elderly people in enclosed environments is receiving increasing attention and is likely to have massive potential social and economic impact. In this thesis, new intelligent computer vision processing based techniques are proposed to detect falls in indoor envi...

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Bibliographic Details

Main Author:	Adel Rhuma
Format:	Default Thesis
Published:	2014
Subjects:	Mechanical engineering not elsewhere classified Computer vision Detecting unusual movement (falls) Background subtraction Enclosed environments Healthcare application Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/15108
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