Object's shadow removal with removal validation

We introduce in this paper, a shadow detection and removal method for moving objects especially for humans and vehicles. An effective method is presented for detecting and removing shadows from foreground figures. We assume that the foreground figures have been extracted from the input image by some...

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Main Authors: Syed Abu Bakar, Syed Abdul Rahman, Sheikh, U. U., As'ari, M. A.
Format: Book Section
Language:en
Published: Institute of Electrical and Electronics Engineering (IEEE) 2007
Subjects:
Online Access:http://eprints.utm.my/9598/1/SyedAbdulRahman2007Object%27sShadowRemovalWithRemoval.pdf
http://eprints.utm.my/9598/
http://dx.doi.org/10.1109/ISSPIT.2007.4458149
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author Syed Abu Bakar, Syed Abdul Rahman
Sheikh, U. U.
As'ari, M. A.
author_facet Syed Abu Bakar, Syed Abdul Rahman
Sheikh, U. U.
As'ari, M. A.
author_sort Syed Abu Bakar, Syed Abdul Rahman
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
description We introduce in this paper, a shadow detection and removal method for moving objects especially for humans and vehicles. An effective method is presented for detecting and removing shadows from foreground figures. We assume that the foreground figures have been extracted from the input image by some background subtraction method. A figure may contain only one moving object with or without shadow. The homogeneity property of shadows is explored in a novel way for shadow detection and image division technique is used. The process is followed by filtering, removal, boundary removal and removal validation.
format Book Section
id my.utm.eprints-9598
institution Universiti Teknologi Malaysia
language en
publishDate 2007
publisher Institute of Electrical and Electronics Engineering (IEEE)
record_format eprints
spelling my.utm.eprints-95982017-09-03T09:41:12Z http://eprints.utm.my/9598/ Object's shadow removal with removal validation Syed Abu Bakar, Syed Abdul Rahman Sheikh, U. U. As'ari, M. A. TK Electrical engineering. Electronics Nuclear engineering QA Mathematics We introduce in this paper, a shadow detection and removal method for moving objects especially for humans and vehicles. An effective method is presented for detecting and removing shadows from foreground figures. We assume that the foreground figures have been extracted from the input image by some background subtraction method. A figure may contain only one moving object with or without shadow. The homogeneity property of shadows is explored in a novel way for shadow detection and image division technique is used. The process is followed by filtering, removal, boundary removal and removal validation. Institute of Electrical and Electronics Engineering (IEEE) 2007 Book Section PeerReviewed other en http://eprints.utm.my/9598/1/SyedAbdulRahman2007Object%27sShadowRemovalWithRemoval.pdf Syed Abu Bakar, Syed Abdul Rahman and Sheikh, U. U. and As'ari, M. A. (2007) Object's shadow removal with removal validation. In: 2007 IEEE International Symposium on Signal Processing and Information Technology. Institute of Electrical and Electronics Engineering (IEEE), pp. 841-845. ISBN 978-1-4244-1835-0 http://dx.doi.org/10.1109/ISSPIT.2007.4458149 doi : 10.1109/ISSPIT.2007.4458149
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
QA Mathematics
Syed Abu Bakar, Syed Abdul Rahman
Sheikh, U. U.
As'ari, M. A.
Object's shadow removal with removal validation
title Object's shadow removal with removal validation
title_full Object's shadow removal with removal validation
title_fullStr Object's shadow removal with removal validation
title_full_unstemmed Object's shadow removal with removal validation
title_short Object's shadow removal with removal validation
title_sort object's shadow removal with removal validation
topic TK Electrical engineering. Electronics Nuclear engineering
QA Mathematics
url http://eprints.utm.my/9598/1/SyedAbdulRahman2007Object%27sShadowRemovalWithRemoval.pdf
http://eprints.utm.my/9598/
http://dx.doi.org/10.1109/ISSPIT.2007.4458149
url_provider http://eprints.utm.my/