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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Bibliographic Details
Main Author: Tan, Sophia Boon Fong.
Other Authors: Cham Tat Jen
Format: Final Year Project (FYP)
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/42381
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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.
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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