Human motion detection framework

Ordinary CCTV can only be used to record incidents if it occur. It works without preventing it and it is only useful to be an evidence for the investigation. The purpose of developing this project is as the earlier prevention to avoid crime by giving alert or feedback from the object that was detect...

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Main Authors:	Suzaimah, Ramli, Kamarul Hawari, Ghazali, Muhammad Faiz, Mohd Ali, Zakaria Hifzan, Hisahuddin
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2011
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/26110/ http://umpir.ump.edu.my/id/eprint/26110/ http://umpir.ump.edu.my/id/eprint/26110/1/Human%20motion%20detection%20framework.pdf

id	ump-26110
recordtype	eprints
spelling	ump-261102019-10-17T04:40:43Z http://umpir.ump.edu.my/id/eprint/26110/ Human motion detection framework Suzaimah, Ramli Kamarul Hawari, Ghazali Muhammad Faiz, Mohd Ali Zakaria Hifzan, Hisahuddin QA76 Computer software Ordinary CCTV can only be used to record incidents if it occur. It works without preventing it and it is only useful to be an evidence for the investigation. The purpose of developing this project is as the earlier prevention to avoid crime by giving alert or feedback from the object that was detected from captured video. The captured video in this project will be convert into frame of images and being analyze by using MATLAB software that already consist all the techniques of image processing. The output of this project will be classified if there is any motion or not by using the value of total sum of pixel value from each image data. The classification is actually based on the threshold value. This project indirectly reduce weakness and careless of human guard observation as it give continuous 24-hour monitoring of surveillance video to alert security officers to an intruder potential. IEEE 2011 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26110/1/Human%20motion%20detection%20framework.pdf Suzaimah, Ramli and Kamarul Hawari, Ghazali and Muhammad Faiz, Mohd Ali and Zakaria Hifzan, Hisahuddin (2011) Human motion detection framework. In: International Conference on System Engineering and Technology (ICSET 2011), 27-28 June 2011 , Shah Alam, Selangor. pp. 158-161.. https://doi.org/10.1109/ICSEngT.2011.5993441
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Suzaimah, Ramli Kamarul Hawari, Ghazali Muhammad Faiz, Mohd Ali Zakaria Hifzan, Hisahuddin Human motion detection framework
description	Ordinary CCTV can only be used to record incidents if it occur. It works without preventing it and it is only useful to be an evidence for the investigation. The purpose of developing this project is as the earlier prevention to avoid crime by giving alert or feedback from the object that was detected from captured video. The captured video in this project will be convert into frame of images and being analyze by using MATLAB software that already consist all the techniques of image processing. The output of this project will be classified if there is any motion or not by using the value of total sum of pixel value from each image data. The classification is actually based on the threshold value. This project indirectly reduce weakness and careless of human guard observation as it give continuous 24-hour monitoring of surveillance video to alert security officers to an intruder potential.
format	Conference or Workshop Item
author	Suzaimah, Ramli Kamarul Hawari, Ghazali Muhammad Faiz, Mohd Ali Zakaria Hifzan, Hisahuddin
author_facet	Suzaimah, Ramli Kamarul Hawari, Ghazali Muhammad Faiz, Mohd Ali Zakaria Hifzan, Hisahuddin
author_sort	Suzaimah, Ramli
title	Human motion detection framework
title_short	Human motion detection framework
title_full	Human motion detection framework
title_fullStr	Human motion detection framework
title_full_unstemmed	Human motion detection framework
title_sort	human motion detection framework
publisher	IEEE
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/26110/ http://umpir.ump.edu.my/id/eprint/26110/ http://umpir.ump.edu.my/id/eprint/26110/1/Human%20motion%20detection%20framework.pdf
first_indexed	2023-09-18T22:40:28Z
last_indexed	2023-09-18T22:40:28Z
_version_	1777416880035725312

Human motion detection framework

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