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Head count for thermal images in H1N1 screening at KLIA / Zalida Wati Ahmad

By:

Zalida Wati Ahmad

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2012Description: x, 44 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN:

THE0007092(Local)

Subject(s):

Dissertation note: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2012 Abstract: 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 used 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.

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Holdings ( 2 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	TK8315 .Z35 2012 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000071305
Final Year Report	UMPLIB PEKAN	CD 6717 \| TK8315 .Z35 2012 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000071306

Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2012

Bibliography : p.[45-49]

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 used 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.