Face detection with multiple cameras

This work developed a framework for face detection in a dual-camera surveillance system consisting of an omnidirectional camera and four Pan-Tilt-Zoom (PTZ) cameras. The omnidirectional camera that provides a wide angle 360 degree field-of-view is used to detect a face. Next, the PTZ cameras that pr...

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Bibliographic Details
Main Author:	Kho, Anthony.
Other Authors:	Chan Syin
Format:	Final Year Project
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:	http://hdl.handle.net/10356/16929
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-16929
record_format	dspace
spelling	sg-ntu-dr.10356-169292023-03-03T20:41:53Z Face detection with multiple cameras Kho, Anthony. Chan Syin School of Computer Engineering Centre for Multimedia and Network Technology DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision This work developed a framework for face detection in a dual-camera surveillance system consisting of an omnidirectional camera and four Pan-Tilt-Zoom (PTZ) cameras. The omnidirectional camera that provides a wide angle 360 degree field-of-view is used to detect a face. Next, the PTZ cameras that provide high resolution images will focus on the detected face such that the frontal area of the face can always be captured. Bachelor of Engineering (Computer Engineering) 2009-05-29T01:57:30Z 2009-05-29T01:57:30Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/16929 en Nanyang Technological University 110 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Kho, Anthony. Face detection with multiple cameras
description	This work developed a framework for face detection in a dual-camera surveillance system consisting of an omnidirectional camera and four Pan-Tilt-Zoom (PTZ) cameras. The omnidirectional camera that provides a wide angle 360 degree field-of-view is used to detect a face. Next, the PTZ cameras that provide high resolution images will focus on the detected face such that the frontal area of the face can always be captured.
author2	Chan Syin
author_facet	Chan Syin Kho, Anthony.
format	Final Year Project
author	Kho, Anthony.
author_sort	Kho, Anthony.
title	Face detection with multiple cameras
title_short	Face detection with multiple cameras
title_full	Face detection with multiple cameras
title_fullStr	Face detection with multiple cameras
title_full_unstemmed	Face detection with multiple cameras
title_sort	face detection with multiple cameras
publishDate	2009
url	http://hdl.handle.net/10356/16929
_version_	1759858386858409984

Face detection with multiple cameras

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