Face detection in image sequence / Noor Diana Abdullah

Face detection is to identify the image regions that contain a face regardless of its 3D position, orientation, and lighting conditions and will show the true emotions of what the person having at that time. The proposed system will be the enabling technology for many applications of facial image an...

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Bibliographic Details
Main Author:	Abdullah, Noor Diana
Format:	Thesis
Language:	English
Published:	2007
Subjects:	Algorithms Pattern recognition systems
Online Access:	https://ir.uitm.edu.my/id/eprint/63094/1/63094.pdf
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id	my-uitm-ir.63094
record_format	uketd_dc
spelling	my-uitm-ir.630942022-10-13T03:02:10Z Face detection in image sequence / Noor Diana Abdullah 2007 Abdullah, Noor Diana Algorithms Pattern recognition systems Face detection is to identify the image regions that contain a face regardless of its 3D position, orientation, and lighting conditions and will show the true emotions of what the person having at that time. The proposed system will be the enabling technology for many applications of facial image analysis. In this project, to gain the facial expression recognition, face detection and tracking is the first step. Once the face is detected, the particular of the face are use to track the expression. The propose method can track faces with a high degree of accuracy once they are identified. Methods of face tracking in image are compared by using Service Vector Mechine (SVM) and Successive Mean Quantization Transform (SMQT) with Matlab 7.2 as the platform to run the program. This study focused on face detecting. This quick adaptation allows the system to robustly track a face when in the image. The expected in this project will be detecting human face from the image sequences. 2007 Thesis https://ir.uitm.edu.my/id/eprint/63094/ https://ir.uitm.edu.my/id/eprint/63094/1/63094.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Yahaya, Saadiah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Yahaya, Saadiah
topic	Algorithms Pattern recognition systems
spellingShingle	Algorithms Pattern recognition systems Abdullah, Noor Diana Face detection in image sequence / Noor Diana Abdullah
description	Face detection is to identify the image regions that contain a face regardless of its 3D position, orientation, and lighting conditions and will show the true emotions of what the person having at that time. The proposed system will be the enabling technology for many applications of facial image analysis. In this project, to gain the facial expression recognition, face detection and tracking is the first step. Once the face is detected, the particular of the face are use to track the expression. The propose method can track faces with a high degree of accuracy once they are identified. Methods of face tracking in image are compared by using Service Vector Mechine (SVM) and Successive Mean Quantization Transform (SMQT) with Matlab 7.2 as the platform to run the program. This study focused on face detecting. This quick adaptation allows the system to robustly track a face when in the image. The expected in this project will be detecting human face from the image sequences.
format	Thesis
qualification_level	Bachelor degree
author	Abdullah, Noor Diana
author_facet	Abdullah, Noor Diana
author_sort	Abdullah, Noor Diana
title	Face detection in image sequence / Noor Diana Abdullah
title_short	Face detection in image sequence / Noor Diana Abdullah
title_full	Face detection in image sequence / Noor Diana Abdullah
title_fullStr	Face detection in image sequence / Noor Diana Abdullah
title_full_unstemmed	Face detection in image sequence / Noor Diana Abdullah
title_sort	face detection in image sequence / noor diana abdullah
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2007
url	https://ir.uitm.edu.my/id/eprint/63094/1/63094.pdf
_version_	1783735291299758080

Face detection in image sequence / Noor Diana Abdullah

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