Intruder detection using histogram and edge detection algorithms

Nowadays, night vision technology enables a person to be seen in the dark. In the past, night vision was implemented by making use of the infrared spectrum of electromagnetic waves and devices such as image intensifiers. With the growing popularity of digital computing, many digital image processing...

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Main Author:	Tan, Kai Yang
Format:	Undergraduates Project Papers
Language:	English English English English
Published:	2016
Subjects:	T Technology (General) TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/16176/ http://umpir.ump.edu.my/id/eprint/16176/ http://umpir.ump.edu.my/id/eprint/16176/1/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-Table%20of%20contents-FKP-Tan%20Kai%20Yang-CD%2010391.pdf http://umpir.ump.edu.my/id/eprint/16176/7/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-Abstract-FKP-Tan%20Kai%20Yang-CD%2010391.pdf http://umpir.ump.edu.my/id/eprint/16176/13/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-Chapter%201-FKP-Tan%20Kai%20Yang-CD%2010391.pdf http://umpir.ump.edu.my/id/eprint/16176/14/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-References-FKP-Tan%20Kai%20Yang-CD%2010391.pdf

id	ump-16176
recordtype	eprints
spelling	ump-161762017-01-19T08:24:54Z http://umpir.ump.edu.my/id/eprint/16176/ Intruder detection using histogram and edge detection algorithms Tan, Kai Yang T Technology (General) TS Manufactures Nowadays, night vision technology enables a person to be seen in the dark. In the past, night vision was implemented by making use of the infrared spectrum of electromagnetic waves and devices such as image intensifiers. With the growing popularity of digital computing, many digital image processing techniques have been proposed to implement night vision. These techniques can enhance the images captured by ordinary cameras under low light conditions and can be implemented completely in software. The entire project is done by using image processing techniques via OpenCV which run on Linux environment. The challenge of this project focuses on the detection ability of intruder by using a webcam at a fixed position in low light condition. 2016-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16176/1/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-Table%20of%20contents-FKP-Tan%20Kai%20Yang-CD%2010391.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/16176/7/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-Abstract-FKP-Tan%20Kai%20Yang-CD%2010391.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/16176/13/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-Chapter%201-FKP-Tan%20Kai%20Yang-CD%2010391.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/16176/14/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-References-FKP-Tan%20Kai%20Yang-CD%2010391.pdf Tan, Kai Yang (2016) Intruder detection using histogram and edge detection algorithms. Faculty of Manufacturing Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:98371&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English
topic	T Technology (General) TS Manufactures
spellingShingle	T Technology (General) TS Manufactures Tan, Kai Yang Intruder detection using histogram and edge detection algorithms
description	Nowadays, night vision technology enables a person to be seen in the dark. In the past, night vision was implemented by making use of the infrared spectrum of electromagnetic waves and devices such as image intensifiers. With the growing popularity of digital computing, many digital image processing techniques have been proposed to implement night vision. These techniques can enhance the images captured by ordinary cameras under low light conditions and can be implemented completely in software. The entire project is done by using image processing techniques via OpenCV which run on Linux environment. The challenge of this project focuses on the detection ability of intruder by using a webcam at a fixed position in low light condition.
format	Undergraduates Project Papers
author	Tan, Kai Yang
author_facet	Tan, Kai Yang
author_sort	Tan, Kai Yang
title	Intruder detection using histogram and edge detection algorithms
title_short	Intruder detection using histogram and edge detection algorithms
title_full	Intruder detection using histogram and edge detection algorithms
title_fullStr	Intruder detection using histogram and edge detection algorithms
title_full_unstemmed	Intruder detection using histogram and edge detection algorithms
title_sort	intruder detection using histogram and edge detection algorithms
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/16176/ http://umpir.ump.edu.my/id/eprint/16176/ http://umpir.ump.edu.my/id/eprint/16176/1/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-Table%20of%20contents-FKP-Tan%20Kai%20Yang-CD%2010391.pdf http://umpir.ump.edu.my/id/eprint/16176/7/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-Abstract-FKP-Tan%20Kai%20Yang-CD%2010391.pdf http://umpir.ump.edu.my/id/eprint/16176/13/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-Chapter%201-FKP-Tan%20Kai%20Yang-CD%2010391.pdf http://umpir.ump.edu.my/id/eprint/16176/14/Intruder%20detection%20using%20histogram%20and%20edge%20detection%20algorithms-References-FKP-Tan%20Kai%20Yang-CD%2010391.pdf
first_indexed	2023-09-18T22:21:37Z
last_indexed	2023-09-18T22:21:37Z
_version_	1777415694082637824

Intruder detection using histogram and edge detection algorithms

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