A Robust Fall Detection Scheme Using Human Shadow and SVM Classifiers

碩士 === 國立臺灣科技大學 === 電子工程系 === 100 === We present a novel real-time video-based human fall detection system in this thesis. Because the system is based on a combination of shadow-based features and various human postures, it can distinguish between fall-down and fall-like incidents with a high degre...

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Main Authors: You-Rong Lin, 林佑融
Other Authors: Yie-Tarng Chen
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/12696932794927637870
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spelling ndltd-TW-100NTUS54280272015-10-13T20:52:01Z http://ndltd.ncl.edu.tw/handle/12696932794927637870 A Robust Fall Detection Scheme Using Human Shadow and SVM Classifiers 運用陰影與支援向量機器的跌倒偵測之研究 You-Rong Lin 林佑融 碩士 國立臺灣科技大學 電子工程系 100 We present a novel real-time video-based human fall detection system in this thesis. Because the system is based on a combination of shadow-based features and various human postures, it can distinguish between fall-down and fall-like incidents with a high degree of accuracy. To support effective operation in different viewpoints, we propose a new feature called virtual height that can estimate the body height without 3D model reconstruction. As a result, the model is low computational complexity. Our experiment results demonstrate that the proposed system can achieve a high detection rate and a low false alarm rate. Yie-Tarng Chen 陳郁堂 2012 學位論文 ; thesis 44 zh-TW
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description 碩士 === 國立臺灣科技大學 === 電子工程系 === 100 === We present a novel real-time video-based human fall detection system in this thesis. Because the system is based on a combination of shadow-based features and various human postures, it can distinguish between fall-down and fall-like incidents with a high degree of accuracy. To support effective operation in different viewpoints, we propose a new feature called virtual height that can estimate the body height without 3D model reconstruction. As a result, the model is low computational complexity. Our experiment results demonstrate that the proposed system can achieve a high detection rate and a low false alarm rate.
author2 Yie-Tarng Chen
author_facet Yie-Tarng Chen
You-Rong Lin
林佑融
author You-Rong Lin
林佑融
spellingShingle You-Rong Lin
林佑融
A Robust Fall Detection Scheme Using Human Shadow and SVM Classifiers
author_sort You-Rong Lin
title A Robust Fall Detection Scheme Using Human Shadow and SVM Classifiers
title_short A Robust Fall Detection Scheme Using Human Shadow and SVM Classifiers
title_full A Robust Fall Detection Scheme Using Human Shadow and SVM Classifiers
title_fullStr A Robust Fall Detection Scheme Using Human Shadow and SVM Classifiers
title_full_unstemmed A Robust Fall Detection Scheme Using Human Shadow and SVM Classifiers
title_sort robust fall detection scheme using human shadow and svm classifiers
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/12696932794927637870
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