Case-based background modeling: associative background database towards low-cost and high-performance change detection
Identifieur interne : 004263 ( Main/Exploration ); précédent : 004262; suivant : 004264Case-based background modeling: associative background database towards low-cost and high-performance change detection
Auteurs : Atsushi Shimada [Japon] ; Yosuke Nonaka [Japon] ; Hajime Nagahara [Japon] ; Rin-Ichiro Taniguchi [Japon]Source :
- Machine vision and applications [ 0932-8092 ] ; 2014.
Descripteurs français
- Pascal (Inist)
English descriptors
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Abstract
Background modeling and subtraction is an essential task in video surveillance applications. Many researchers have discussed about an improvement of performance of a background model, and a reduction of memory usage or computational cost. To adapt to background changes, a background model has been enhanced by introducing various information including a spatial consistency, a temporal tendency, etc. with a large memory allocation. Meanwhile, an approach to reduce a memory cost cannot provide better accuracy of a background subtraction. To tackle the trade-off problem, this paper proposes a novel framework named "case-based background modeling". The characteristics of the proposed method are (1) a background model is created, or removed when necessary, (2) case-by-case model sharing by some of the pixels, (3) pixel features are divided into two groups, one for model selection and the other for modeling. These approaches realize a low-cost and high accurate background model. The memory usage and the computational cost could be reduced by half of a traditional method and the accuracy was superior to the method.
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database towards low-cost and high-performance change detection</title><author><name sortKey="Shimada, Atsushi" sort="Shimada, Atsushi" uniqKey="Shimada A" first="Atsushi" last="Shimada">Atsushi Shimada</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Department of Advanced Information Technology, Kyushu University, 744 Motooka</s1><s2>Nishi-ku, Fukuoka 819-0395</s2><s3>JPN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Japon</country><wicri:noRegion>Nishi-ku, Fukuoka 819-0395</wicri:noRegion><orgName type="university">Université de Kyūshū</orgName><placeName><settlement type="city">Fukuoka</settlement><region type="province">Kyūshū</region><region type="prefecture">Préfecture de Fukuoka</region></placeName></affiliation></author><author><name sortKey="Nonaka, Yosuke" sort="Nonaka, Yosuke" uniqKey="Nonaka Y" first="Yosuke" last="Nonaka">Yosuke Nonaka</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Department of Advanced Information Technology, Kyushu University, 744 Motooka</s1><s2>Nishi-ku, Fukuoka 819-0395</s2><s3>JPN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Japon</country><wicri:noRegion>Nishi-ku, Fukuoka 819-0395</wicri:noRegion><orgName type="university">Université de Kyūshū</orgName><placeName><settlement type="city">Fukuoka</settlement><region type="province">Kyūshū</region><region type="prefecture">Préfecture de Fukuoka</region></placeName></affiliation></author><author><name sortKey="Nagahara, Hajime" sort="Nagahara, Hajime" uniqKey="Nagahara H" first="Hajime" last="Nagahara">Hajime Nagahara</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Department of Advanced Information Technology, Kyushu University, 744 Motooka</s1><s2>Nishi-ku, Fukuoka 819-0395</s2><s3>JPN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Japon</country><wicri:noRegion>Nishi-ku, Fukuoka 819-0395</wicri:noRegion><orgName type="university">Université de Kyūshū</orgName><placeName><settlement type="city">Fukuoka</settlement><region type="province">Kyūshū</region><region type="prefecture">Préfecture de Fukuoka</region></placeName></affiliation></author><author><name sortKey="Taniguchi, Rin Ichiro" sort="Taniguchi, Rin Ichiro" uniqKey="Taniguchi R" first="Rin-Ichiro" last="Taniguchi">Rin-Ichiro Taniguchi</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Department of Advanced Information Technology, Kyushu University, 744 Motooka</s1><s2>Nishi-ku, Fukuoka 819-0395</s2><s3>JPN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Japon</country><wicri:noRegion>Nishi-ku, Fukuoka 819-0395</wicri:noRegion><orgName type="university">Université de Kyūshū</orgName><placeName><settlement type="city">Fukuoka</settlement><region type="province">Kyūshū</region><region type="prefecture">Préfecture de Fukuoka</region></placeName></affiliation></author></analytic><series><title level="j" type="main">Machine vision and applications</title><title level="j" type="abbreviated">Mach. vis. appl.</title><idno type="ISSN">0932-8092</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Machine vision and applications</title><title level="j" type="abbreviated">Mach. vis. appl.</title><idno type="ISSN">0932-8092</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>ABackground</term><term>Case based reasoning</term><term>Computer vision</term><term>Event detection</term><term>High performance</term><term>Image processing</term><term>Image segmentation</term><term>Image subtraction</term><term>Model matching</term><term>Model selection</term><term>Modeling</term><term>Reduced order model</term><term>Scene analysis</term><term>Storage management</term><term>Surveillance</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Haute performance</term><term>Soustraction image</term><term>Traitement image</term><term>Vision ordinateur</term><term>Analyse scène</term><term>Surveillance</term><term>Gestion mémoire</term><term>Raisonnement basé sur cas</term><term>Modélisation</term><term>Modèle ordre réduit</term><term>Sélection modèle</term><term>Ajustement modèle</term><term>Détection d'évènements</term><term>Segmentation image</term><term>Arrière plan</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Background modeling and subtraction is an essential task in video surveillance applications. Many researchers have discussed about an improvement of performance of a background model, and a reduction of memory usage or computational cost. To adapt to background changes, a background model has been enhanced by introducing various information including a spatial consistency, a temporal tendency, etc. with a large memory allocation. Meanwhile, an approach to reduce a memory cost cannot provide better accuracy of a background subtraction. To tackle the trade-off problem, this paper proposes a novel framework named "case-based background modeling". The characteristics of the proposed method are (1) a background model is created, or removed when necessary, (2) case-by-case model sharing by some of the pixels, (3) pixel features are divided into two groups, one for model selection and the other for modeling. These approaches realize a low-cost and high accurate background model. The memory usage and the computational cost could be reduced by half of a traditional method and the accuracy was superior to the method.</div></front></TEI><affiliations><list><country><li>Japon</li></country><region><li>Kyūshū</li><li>Préfecture de Fukuoka</li></region><settlement><li>Fukuoka</li></settlement><orgName><li>Université de Kyūshū</li></orgName></list><tree><country name="Japon"><region name="Kyūshū"><name sortKey="Shimada, Atsushi" sort="Shimada, Atsushi" uniqKey="Shimada A" first="Atsushi" last="Shimada">Atsushi Shimada</name></region><name sortKey="Nagahara, Hajime" sort="Nagahara, Hajime" uniqKey="Nagahara H" first="Hajime" last="Nagahara">Hajime Nagahara</name><name sortKey="Nonaka, Yosuke" sort="Nonaka, Yosuke" uniqKey="Nonaka Y" first="Yosuke" last="Nonaka">Yosuke Nonaka</name><name sortKey="Taniguchi, Rin Ichiro" sort="Taniguchi, Rin Ichiro" uniqKey="Taniguchi R" first="Rin-Ichiro" last="Taniguchi">Rin-Ichiro Taniguchi</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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