Background change detection using wavelet transform

Detecting stationary objects in a scene has become a significant factor in image processing for the past few years due to its many applications in the field of safety and security. In most image surveillance systems, subtraction of images is the key to perform detection of objects in a scene. In thi...

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Main Author: Ambata, Leonard U.
Format: text
Language:English
Published: Animo Repository 2007
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Online Access:https://animorepository.dlsu.edu.ph/etd_masteral/3489
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10327/viewcontent/CDTG004237_P.pdf
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_masteral-103272022-06-08T05:27:36Z Background change detection using wavelet transform Ambata, Leonard U. Detecting stationary objects in a scene has become a significant factor in image processing for the past few years due to its many applications in the field of safety and security. In most image surveillance systems, subtraction of images is the key to perform detection of objects in a scene. In this paper, the subtraction process will be utilizing the capabilities of Haar wavelet family. The wavelet transform will be employed in separating the foreground from the background as well as other operations and processes in order to come up with only the stationary objects in the scene. The study has three main processes namely: background modeling, subtraction and detection. The median function was used to model the background, Haar wavelet family for the subtraction process, and AND operation and Canny method for the detection process. The methods used resulted to satisfactory outputs giving the system a success rate of 85.48% with a confidence level of 86.67%. 2007-01-01T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etd_masteral/3489 https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10327/viewcontent/CDTG004237_P.pdf Master's Theses English Animo Repository Image processing Wavelets (Mathematics) Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Image processing
Wavelets (Mathematics)
Engineering
spellingShingle Image processing
Wavelets (Mathematics)
Engineering
Ambata, Leonard U.
Background change detection using wavelet transform
description Detecting stationary objects in a scene has become a significant factor in image processing for the past few years due to its many applications in the field of safety and security. In most image surveillance systems, subtraction of images is the key to perform detection of objects in a scene. In this paper, the subtraction process will be utilizing the capabilities of Haar wavelet family. The wavelet transform will be employed in separating the foreground from the background as well as other operations and processes in order to come up with only the stationary objects in the scene. The study has three main processes namely: background modeling, subtraction and detection. The median function was used to model the background, Haar wavelet family for the subtraction process, and AND operation and Canny method for the detection process. The methods used resulted to satisfactory outputs giving the system a success rate of 85.48% with a confidence level of 86.67%.
format text
author Ambata, Leonard U.
author_facet Ambata, Leonard U.
author_sort Ambata, Leonard U.
title Background change detection using wavelet transform
title_short Background change detection using wavelet transform
title_full Background change detection using wavelet transform
title_fullStr Background change detection using wavelet transform
title_full_unstemmed Background change detection using wavelet transform
title_sort background change detection using wavelet transform
publisher Animo Repository
publishDate 2007
url https://animorepository.dlsu.edu.ph/etd_masteral/3489
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10327/viewcontent/CDTG004237_P.pdf
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