DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorDoulamis, Anastasios-
dc.contributor.authorDoulamis, Nikolaos-
dc.date.accessioned2024-10-11T07:52:50Z-
dc.date.available2024-10-11T07:52:50Z-
dc.date.issued2002-01-01-
dc.identifierscopus-58249118708-
dc.identifier.isbn0-7803-7503-3-
dc.identifier.other58249118708-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2819-
dc.description.abstractIn this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic video sequences. The scheme includes (a) a retraining algorithm for adapting network weights to current conditions, (b) a semantically meaningful object extraction module for creating a retraining set and (c) a decision mechanism, which detects the time instances of a new network retraining. The retraining algorithm optimally adapts network weights by exploiting information of the current conditions and simultaneously minimally degrading the obtained network knowledge. The algorithm results in the minimization of a convex function subject to linear constraints, thus, one minimum exists. Furthermore, a decision mechanism is included to detect the time instances that a new network retraining is required. Description of the current conditions is provided by a segmentation fusion algorithm, which appropriately combines color and depth information.en_US
dc.language.isoenen_US
dc.relation.ispartof14th International Conference on Digital Signal Processing Proceedings (DSP 2002)en_US
dc.titleAdaptive classification-based articulation and tracking of video objects employing neural network retrainingen_US
dc.typeConference Paperen_US
dc.relation.conference14th International Conference on Digital Signal Processing (DSP 2002), 1-3 July 2002, Santorini, Greeceen_US
dc.identifier.doi10.1109/ICDSP.2002.1028155en_US
dc.identifier.scopus2-s2.0-58249118708-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume2en_US
dc.identifier.spage575en_US
dc.identifier.epage578en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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