Robust motion detection and tracking for automatic surveillance
In this thesis, four effective techniques about motion detection and tracking are proposed. A learning algorithm is developed for the on-line background model learning and background adaptation.
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2008
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sg-ntu-dr.10356-31812023-07-04T16:30:56Z Robust motion detection and tracking for automatic surveillance Ren, Ying. Chua, Chin Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation In this thesis, four effective techniques about motion detection and tracking are proposed. A learning algorithm is developed for the on-line background model learning and background adaptation. Doctor of Philosophy (EEE) 2008-09-17T09:24:06Z 2008-09-17T09:24:06Z 2004 2004 Thesis http://hdl.handle.net/10356/3181 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Ren, Ying. Robust motion detection and tracking for automatic surveillance |
description |
In this thesis, four effective techniques about motion detection and tracking are proposed. A learning algorithm is developed for the on-line background model learning and background adaptation. |
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Chua, Chin Seng |
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Chua, Chin Seng Ren, Ying. |
format |
Theses and Dissertations |
author |
Ren, Ying. |
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Ren, Ying. |
title |
Robust motion detection and tracking for automatic surveillance |
title_short |
Robust motion detection and tracking for automatic surveillance |
title_full |
Robust motion detection and tracking for automatic surveillance |
title_fullStr |
Robust motion detection and tracking for automatic surveillance |
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Robust motion detection and tracking for automatic surveillance |
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robust motion detection and tracking for automatic surveillance |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/3181 |
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1772827677412032512 |