Approche connexionniste de la perception du mouvement
Identifieur interne : 004C47 ( Hal/Checkpoint ); précédent : 004C46; suivant : 004C48Approche connexionniste de la perception du mouvement
Auteurs : Claudio Castellanos Sánchez [France] ; Bernard Girau [France] ; Frédéric Alexandre [France]Source :
- International Journal of Information Sciences for Decision Making [ 1265-499X ] ; 2004.
Descripteurs français
- mix :
Abstract
La perception du mouvement visuel modélisé par des modèles connexionnistes fournit différents axes de recherche pour le développement de modèles de perception-action en temps réel appliqués à la perception visuelle dynamique du mouvement. Nous présentons dans cet article les bases d'une approche connexionniste bio-inspiré avec une adaptation particulière des filtres de Gabor spatio-temporels que nous utilisons en vue d'une approche plus modulaire et fortement localisée pour la perception visuelle du mouvement. || The visual perception of motion modeled by connectionist models offers various areas of research for the development of models of real-time perception-action applied to the dynamic visual perception of motion. We present in this article the bases of a bio
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Hal:inria-00100242Le document en format XML
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Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic><series><title level="j">International Journal of Information Sciences for Decision Making</title><idno type="ISSN">1265-499X</idno><imprint><date type="datePub">2004</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>bio-inspired neural network</term><term>filtres de gabor</term><term>flot optique</term><term>gabor filters</term><term>optical flow</term><term>perception du mouvement</term><term>perception of motion</term><term>réseau de neurones bio-inspirés</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">La perception du mouvement visuel modélisé par des modèles connexionnistes fournit différents axes de recherche pour le développement de modèles de perception-action en temps réel appliqués à la perception visuelle dynamique du mouvement. Nous présentons dans cet article les bases d'une approche connexionniste bio-inspiré avec une adaptation particulière des filtres de Gabor spatio-temporels que nous utilisons en vue d'une approche plus modulaire et fortement localisée pour la perception visuelle du mouvement. || The visual perception of motion modeled by connectionist models offers various areas of research for the development of models of real-time perception-action applied to the dynamic visual perception of motion. We present in this article the bases of a bio</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="fr">Approche connexionniste de la perception du mouvement</title><author role="aut"><persName><forename type="first">Claudio</forename><surname>Castellanos Sánchez</surname></persName><email></email><idno type="halauthor">131496</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Bernard</forename><surname>Girau</surname></persName><email>Bernard.Girau@loria.fr</email><idno type="halauthor">134072</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Frédéric</forename><surname>Alexandre</surname></persName><email>Frederic.Alexandre@inria.fr</email><idno type="idhal">frederic-alexandre</idno><idno type="halauthor">778506</idno><orgName ref="#struct-300009"></orgName><affiliation ref="#struct-2348"></affiliation></author><editor role="depositor"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-09-26 10:16:04</date><date type="whenModified">2016-05-19 01:09:06</date><date type="whenReleased">2006-09-28 15:22:47</date><date type="whenProduced">2004</date></edition><respStmt><resp>contributor</resp><name key="108626"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00100242</idno><idno type="halUri">https://hal.inria.fr/inria-00100242</idno><idno type="halBibtex">castellanossanchez:inria-00100242</idno><idno type="halRefHtml">International Journal of Information Sciences for Decision Making, University of South Toulon - Var, 2004, pp.72-81</idno><idno type="halRef">International Journal of Information Sciences for Decision Making, University of South Toulon - Var, 2004, pp.72-81</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-CSAI" p="LORIA">Systèmes complexes et intelligence artificielle</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno></seriesStmt><notesStmt><note type="commentary">Article dans revue scientifique avec comité de lecture. internationale.</note><note type="audience" n="2">International</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="fr">Approche connexionniste de la perception du mouvement</title><author role="aut"><persName><forename type="first">Claudio</forename><surname>Castellanos Sánchez</surname></persName><idno type="halAuthorId">131496</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Bernard</forename><surname>Girau</surname></persName><email>Bernard.Girau@loria.fr</email><idno type="halAuthorId">134072</idno><orgName ref="#struct-300292"></orgName><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Frédéric</forename><surname>Alexandre</surname></persName><email>Frederic.Alexandre@inria.fr</email><idno type="idHal">frederic-alexandre</idno><idno type="halAuthorId">778506</idno><orgName ref="#struct-300009"></orgName><affiliation ref="#struct-2348"></affiliation></author></analytic><monogr><idno type="localRef">A04-R-029 || castellanos_sanchez04a</idno><idno type="halJournalId" status="VALID">1090</idno><idno type="issn">1265-499X</idno><title level="j">International Journal of Information Sciences for Decision Making</title><imprint><publisher>University of South Toulon - Var</publisher><biblScope unit="issue">13</biblScope><biblScope unit="pp">72-81</biblScope><date type="datePub">2004</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><keywords scheme="author"><term xml:lang="fr">perception du mouvement</term><term xml:lang="fr">gabor filters</term><term xml:lang="fr">perception of motion</term><term xml:lang="fr">bio-inspired neural network</term><term xml:lang="fr">optical flow</term><term xml:lang="fr">réseau de neurones bio-inspirés</term><term xml:lang="fr">flot optique</term><term xml:lang="fr">filtres de gabor</term></keywords><classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode><classCode scheme="halTypology" n="ART">Journal articles</classCode></textClass><abstract xml:lang="fr">La perception du mouvement visuel modélisé par des modèles connexionnistes fournit différents axes de recherche pour le développement de modèles de perception-action en temps réel appliqués à la perception visuelle dynamique du mouvement. Nous présentons dans cet article les bases d'une approche connexionniste bio-inspiré avec une adaptation particulière des filtres de Gabor spatio-temporels que nous utilisons en vue d'une approche plus modulaire et fortement localisée pour la perception visuelle du mouvement. || The visual perception of motion modeled by connectionist models offers various areas of research for the development of models of real-time perception-action applied to the dynamic visual perception of motion. We present in this article the bases of a bio</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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