Foreground and background detection of thermal image for h1ni screening

The thermal imaging cameras used in airports are specifically designed to detect anyone with a higher than normal body temperature in a subtle and non invasive way. The cameras are able to gather information on an individual’s body temperature in a matter of seconds allowing airport officials to vas...

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Bibliographic Details
Main Author: Nur Syazreen, Ardnan
Format: Undergraduates Project Papers
Language:English
Published: 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/4591/1/cd6713_56.pdf
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author Nur Syazreen, Ardnan
author_facet Nur Syazreen, Ardnan
author_sort Nur Syazreen, Ardnan
collection UMP
description The thermal imaging cameras used in airports are specifically designed to detect anyone with a higher than normal body temperature in a subtle and non invasive way. The cameras are able to gather information on an individual’s body temperature in a matter of seconds allowing airport officials to vastly narrow down possible carriers of the diseases and help avoid a flu pandemic. The cameras produce infrared images of peoples and detects if the temperature falls within a certain acceptable range. The dissertation objective is to design software to automatically detect the people in the image. Using image pre-processing technique which background-subtraction to remove the background of the image and by using image processing technique such as thresholding and morphology, to detect the foreground of the image which are the peoples, filling, lining and some more techniques, FGdetection.m is the execution file in MATLAB that takes the input image and output the image with detected peoples.
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spelling UMPir45912021-06-02T03:15:05Z http://umpir.ump.edu.my/id/eprint/4591/ Foreground and background detection of thermal image for h1ni screening Nur Syazreen, Ardnan TK Electrical engineering. Electronics Nuclear engineering The thermal imaging cameras used in airports are specifically designed to detect anyone with a higher than normal body temperature in a subtle and non invasive way. The cameras are able to gather information on an individual’s body temperature in a matter of seconds allowing airport officials to vastly narrow down possible carriers of the diseases and help avoid a flu pandemic. The cameras produce infrared images of peoples and detects if the temperature falls within a certain acceptable range. The dissertation objective is to design software to automatically detect the people in the image. Using image pre-processing technique which background-subtraction to remove the background of the image and by using image processing technique such as thresholding and morphology, to detect the foreground of the image which are the peoples, filling, lining and some more techniques, FGdetection.m is the execution file in MATLAB that takes the input image and output the image with detected peoples. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4591/1/cd6713_56.pdf Nur Syazreen, Ardnan (2012) Foreground and background detection of thermal image for h1ni screening. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang.
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nur Syazreen, Ardnan
Foreground and background detection of thermal image for h1ni screening
title Foreground and background detection of thermal image for h1ni screening
title_full Foreground and background detection of thermal image for h1ni screening
title_fullStr Foreground and background detection of thermal image for h1ni screening
title_full_unstemmed Foreground and background detection of thermal image for h1ni screening
title_short Foreground and background detection of thermal image for h1ni screening
title_sort foreground and background detection of thermal image for h1ni screening
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/4591/1/cd6713_56.pdf
work_keys_str_mv AT nursyazreenardnan foregroundandbackgrounddetectionofthermalimageforh1niscreening