Head count for thermal images in H1N1 screening at KLIA

In computer vision field, head detection can be considered as one of the most important problems. Nowadays, H1N1 screening at KLIA for flue detection is done manually. Therefore, this project will detect and count the head for H1N1 screening automatically by applying image processing. The head count...

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Main Author:	Zalida Wati, Ahmad
Format:	Undergraduates Project Papers
Language:	English
Published:	2012
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/4596/ http://umpir.ump.edu.my/id/eprint/4596/ http://umpir.ump.edu.my/id/eprint/4596/1/cd6717_65.pdf

id	ump-4596
recordtype	eprints
spelling	ump-45962015-03-03T09:19:59Z http://umpir.ump.edu.my/id/eprint/4596/ Head count for thermal images in H1N1 screening at KLIA Zalida Wati, Ahmad TK Electrical engineering. Electronics Nuclear engineering In computer vision field, head detection can be considered as one of the most important problems. Nowadays, H1N1 screening at KLIA for flue detection is done manually. Therefore, this project will detect and count the head for H1N1 screening automatically by applying image processing. The head count will be done at KLIA to monitor the total passenger that will undergo H1N1 screening for record. However, the head count of H1N1 screening is complex since crowded people will lead to overlapping head and head detection will be hard to accomplish. A method based on implementation of Hough transform is applied. This project can detect human head effectively in complex background, and provide a new approach of human head detection especially when the colour information of image is limited. Other than that, shape detection for roundness head will be use as an additional method. Besides that, I also use other method which is cropping and mapping method. Thus, by implementation of one of these methods, the head detection can be automatically counted in order to monitor the passenger that undergoes H1N1 screening at KLIA. The expected outcome of this project is a Graphical User Interface (GUI) in MATLAB that takes thermal images of passenger screening at KLIA and output detected the head in the images with total head count. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4596/1/cd6717_65.pdf Zalida Wati, Ahmad (2012) Head count for thermal images in H1N1 screening at KLIA. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:73786&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Zalida Wati, Ahmad Head count for thermal images in H1N1 screening at KLIA
description	In computer vision field, head detection can be considered as one of the most important problems. Nowadays, H1N1 screening at KLIA for flue detection is done manually. Therefore, this project will detect and count the head for H1N1 screening automatically by applying image processing. The head count will be done at KLIA to monitor the total passenger that will undergo H1N1 screening for record. However, the head count of H1N1 screening is complex since crowded people will lead to overlapping head and head detection will be hard to accomplish. A method based on implementation of Hough transform is applied. This project can detect human head effectively in complex background, and provide a new approach of human head detection especially when the colour information of image is limited. Other than that, shape detection for roundness head will be use as an additional method. Besides that, I also use other method which is cropping and mapping method. Thus, by implementation of one of these methods, the head detection can be automatically counted in order to monitor the passenger that undergoes H1N1 screening at KLIA. The expected outcome of this project is a Graphical User Interface (GUI) in MATLAB that takes thermal images of passenger screening at KLIA and output detected the head in the images with total head count.
format	Undergraduates Project Papers
author	Zalida Wati, Ahmad
author_facet	Zalida Wati, Ahmad
author_sort	Zalida Wati, Ahmad
title	Head count for thermal images in H1N1 screening at KLIA
title_short	Head count for thermal images in H1N1 screening at KLIA
title_full	Head count for thermal images in H1N1 screening at KLIA
title_fullStr	Head count for thermal images in H1N1 screening at KLIA
title_full_unstemmed	Head count for thermal images in H1N1 screening at KLIA
title_sort	head count for thermal images in h1n1 screening at klia
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/4596/ http://umpir.ump.edu.my/id/eprint/4596/ http://umpir.ump.edu.my/id/eprint/4596/1/cd6717_65.pdf
first_indexed	2023-09-18T21:59:19Z
last_indexed	2023-09-18T21:59:19Z
_version_	1777414292002308096

Head count for thermal images in H1N1 screening at KLIA

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