Visual activity monitoring : assisted child-minding home camera surveillance system
The main focus of this project is to develop a robust activity monitoring system which is able track and automatically recognize the activities of a child in an unsupervised environment. Codebook method is used to learn the background for foreground detection and tracking is initialized for every ne...
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Format: | Final Year Project (FYP) |
Language: | English |
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2010
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Online Access: | http://hdl.handle.net/10356/42381 |
_version_ | 1824454977855160320 |
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author | Tan, Sophia Boon Fong. |
author2 | Cham Tat Jen |
author_facet | Cham Tat Jen Tan, Sophia Boon Fong. |
author_sort | Tan, Sophia Boon Fong. |
collection | NTU |
description | The main focus of this project is to develop a robust activity monitoring system which is able track and automatically recognize the activities of a child in an unsupervised environment. Codebook method is used to learn the background for foreground detection and tracking is initialized for every new foreground object detected. Linear Support Vector Machine Model is used for activity recognition of these foreground objects. In addition, a graphical user interface will be provided to enable the user to predefine activity zones. Child wondering beyond these areas will cause the system to trigger a warning signal. User may retrieve earlier surveillance records through this user interface. |
first_indexed | 2025-02-19T03:30:53Z |
format | Final Year Project (FYP) |
id | ntu-10356/42381 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2025-02-19T03:30:53Z |
publishDate | 2010 |
record_format | dspace |
spelling | ntu-10356/423812023-03-03T20:43:13Z Visual activity monitoring : assisted child-minding home camera surveillance system Tan, Sophia Boon Fong. Cham Tat Jen School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision The main focus of this project is to develop a robust activity monitoring system which is able track and automatically recognize the activities of a child in an unsupervised environment. Codebook method is used to learn the background for foreground detection and tracking is initialized for every new foreground object detected. Linear Support Vector Machine Model is used for activity recognition of these foreground objects. In addition, a graphical user interface will be provided to enable the user to predefine activity zones. Child wondering beyond these areas will cause the system to trigger a warning signal. User may retrieve earlier surveillance records through this user interface. Bachelor of Engineering (Computer Engineering) 2010-11-30T01:34:55Z 2010-11-30T01:34:55Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/42381 en Nanyang Technological University 82 p. application/pdf |
spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Tan, Sophia Boon Fong. Visual activity monitoring : assisted child-minding home camera surveillance system |
title | Visual activity monitoring : assisted child-minding home camera surveillance system |
title_full | Visual activity monitoring : assisted child-minding home camera surveillance system |
title_fullStr | Visual activity monitoring : assisted child-minding home camera surveillance system |
title_full_unstemmed | Visual activity monitoring : assisted child-minding home camera surveillance system |
title_short | Visual activity monitoring : assisted child-minding home camera surveillance system |
title_sort | visual activity monitoring assisted child minding home camera surveillance system |
topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
url | http://hdl.handle.net/10356/42381 |
work_keys_str_mv | AT tansophiaboonfong visualactivitymonitoringassistedchildmindinghomecamerasurveillancesystem |