mycoreobjectrosdok_disshab_0000002068rosdok_disshab_0000002068rosdokdisshabrosdok_derivate_00000665032023-08-08T10:09:54.769Z2019-02-25T12:00:18.443ZadministratoreditorDpublished1rosdok_derivate_0000066503truetruederivate_types:fulltextVolltextfulltextwf_edit_epub wf_register_epubstate:publishedstate:publishedveröffentlichtpublishedrosdok/id000024181066518440Oau2019-02-252023-08-05T19:12:06ZrdaConverted from PICA to MODS using Pica2Mods XSLT Transformer 2.7 [SCM: "0c0e7a3c226a4a0cbcbec39b493c3c5257339ab8" "v2.7" "2023-08-04T00:00:00+0200"] with mode 'DEFAULT'.DissertationHochschulschriftChange detection in combination with spatial models and its effectiveness on underwater scenariosThis thesis proposes a novel change detection approach for underwater scenarios and combines it with different especially developed spatial models, this allows accurate and spatially coherent detection of any moving objects with a static camera in arbitrary environments. To deal with the special problems of underwater imaging pre-segmentations based on the optical flow and other special adaptions were added to the change detection algorithm so that it can better handle typical underwater scenarios like a scene crowded by a whole fish swarm.MartinRadolko1986 -VerfasserInaut1179126467BodoUrban1953 - 2022AkademischeR BetreuerIndgs1327883570000-0003-4968-4506UweLukasFreiherr von1967 -AkademischeR BetreuerIndgs128388951ArjanKuijper1970 -AkademischeR BetreuerIndgs10361180960000-0002-6413-006138329-6Universität Rostock1419 -Grad-verleihende Institutiondgg10085032-7Universität RostockFakultät für Informatik und Elektrotechnik2004 -Grad-verleihende Institutiondgghttp://purl.uni-rostock.de/rosdok/id00002418urn:nbn:de:gbv:28-rosdok_id00002418-710.18453/rosdok_id00002418004 InformatikFakultät für Informatik und ElektrotechnikCC BY-NC-ND 4.0Nutzungsrechte erteiltLizenz Metadaten: CC0frei zugänglich (Open Access)en2018Universität RostockRostockmonographic201920182019Universitätsbibliothek RostockRostock2019Universitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id00002418vorgelegt von Martin RadolkoST 330ObjekterkennungVideobearbeitungdoctype:epubdoctype:epubDokumenttypDocument typedoctype:epub.dissertationdoctype:epub.dissertationDissertationdoctoral thesisdiniPublType:doctoralThesis diniPublType2022:PhDThesis XMetaDissPlusThesisLevel:thesis.doctoralinfo:eu-repo/semantics/doctoralThesisdocumentnatureOfContent:ppn_105825778natureOfContent:ppn_105825778HochschulschriftdiniPublType2022:DoctoralThesisdiniPublType2022:DoctoralThesisDissertation oder HabilitationDoctoral thesisDRIVERdiniPublType2022:PhDThesisdiniPublType2022:PhDThesisDissertationPhD thesisKDSF (Pu34)XMetaDissPlusThesisLevel:thesis.doctoralXMetaDissPlusThesisLevel:thesis.doctoralDoktorarbeitdoctoral thesisSDNB:004SDNB:004004 Informatik004 Data processing Computer sciencesinstitution:unirostockinstitution:unirostockUniversität RostockUniversity of RostockUniversität RostockUniversität RostockUni.Rostockhttp://d-nb.info/gnd/38329-6institution:unirostock.iefinstitution:unirostock.iefFakultät für Informatik und ElektrotechnikFaculty of Computer Science and Electrical EngineeringUniversität Rostock. 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To deal with the special problems of underwater imaging pre-segmentations based on the optical flow and other special adaptions were added to the change detection algorithm so that it can better handle typical underwater scenarios like a scene crowded by a whole fish swarm.20182018vorgelegt von Martin Radolkoepub.dissertation1 Radolko_Dissertation_2019.pdf 99644850 4a3b303dbee7362a087474716987fe1f rosdok/id000024181066518440Oau2019-02-252023-08-05T19:12:06ZrdaConverted from PICA to MODS using Pica2Mods XSLT Transformer 2.7 [SCM: "0c0e7a3c226a4a0cbcbec39b493c3c5257339ab8" "v2.7" "2023-08-04T00:00:00+0200"] with mode 'DEFAULT'.DissertationHochschulschriftChange detection in combination with spatial models and its effectiveness on underwater scenariosThis thesis proposes a novel change detection approach for underwater scenarios and combines it with different especially developed spatial models, this allows accurate and spatially coherent detection of any moving objects with a static camera in arbitrary environments. To deal with the special problems of underwater imaging pre-segmentations based on the optical flow and other special adaptions were added to the change detection algorithm so that it can better handle typical underwater scenarios like a scene crowded by a whole fish swarm.MartinRadolko1986 -VerfasserInaut1179126467BodoUrban1953 - 2022AkademischeR BetreuerIndgs1327883570000-0003-4968-4506UweLukasFreiherr von1967 -AkademischeR BetreuerIndgs128388951ArjanKuijper1970 -AkademischeR BetreuerIndgs10361180960000-0002-6413-006138329-6Universität Rostock1419 -Grad-verleihende Institutiondgg10085032-7Universität RostockFakultät für Informatik und Elektrotechnik2004 -Grad-verleihende Institutiondgghttp://purl.uni-rostock.de/rosdok/id00002418urn:nbn:de:gbv:28-rosdok_id00002418-710.18453/rosdok_id00002418004 InformatikFakultät für Informatik und ElektrotechnikCC BY-NC-ND 4.0Nutzungsrechte erteiltLizenz Metadaten: CC0frei zugänglich (Open Access)en2018Universität RostockRostockmonographic201920182019Universitätsbibliothek RostockRostock2019Universitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id00002418vorgelegt von Martin RadolkoST 330ObjekterkennungVideobearbeitung 2019-02-25T12:00:18.443Z 2023-08-08T10:09:54.769Z 2023-08-18T10:09:54.774Z {"identifier":"rosdok/id00002418","type":"local_id","additional":"","service":"MCRLocalID","created":"2019-02-25T12:00:18.617Z"} editorD {"identifier":"http://purl.uni-rostock.de/rosdok/id00002418","type":"purl","additional":"","service":"RosDokPURL","created":"2019-02-25T12:30:15.345Z","registered":"2019-02-25T12:30:15.345Z"} {"identifier":"10.18453/rosdok_id00002418","type":"doi","additional":"","service":"RosDokDOI","created":"2019-02-25T12:30:16.890Z","registered":"2019-02-25T12:30:16.890Z"} {"identifier":"urn:nbn:de:gbv:28-rosdok_id00002418-7","type":"dnbUrn","additional":"","service":"RosDokURN","created":"2019-02-25T12:00:18.659Z","registered":"2019-02-26T03:22:44.877Z"} administratorfulltextfile/rosdok_disshab_0000002068/rosdok_derivate_0000066503/Radolko_Dissertation_2019.pdfChange detection in combination with spatial models and its effectiveness on underwater scenariosChange detection in combination with spatial models and its effectiveness on underwater scenariosgnd:1179126467gnd:132788357orcid:0000-0003-4968-4506gnd:128388951gnd:1036118096orcid:0000-0002-6413-0061gnd:38329-6gnd:10085032-7gnd:1179126467gnd:132788357orcid:0000-0003-4968-4506gnd:128388951gnd:1036118096orcid:0000-0002-6413-0061gnd:38329-6gnd:10085032-7rosdok_disshab_0000002068-d5211119e52gnd:1179126467Martin RadolkoMartin Radolkorosdok_disshab_0000002068-d5211119e66gnd:132788357orcid:0000-0003-4968-4506Bodo UrbanBodo Urbanrosdok_disshab_0000002068-d5211119e82gnd:128388951Uwe Lukas Freiherr vonUwe Lukas Freiherr vonrosdok_disshab_0000002068-d5211119e98gnd:1036118096orcid:0000-0002-6413-0061Arjan KuijperArjan Kuijperrosdok_disshab_0000002068-d5211119e115gnd:38329-6Universität RostockUniversität Rostockrosdok_disshab_0000002068-d5211119e126gnd:10085032-7Universität Rostock Fakultät für Informatik und ElektrotechnikUniversität Rostock Fakultät für Informatik und ElektrotechnikMartin RadolkoBodo UrbanUwe Lukas Freiherr vonArjan KuijperUniversität RostockUniversität Rostock Fakultät für Informatik und ElektrotechnikMartin RadolkoBodo UrbanUwe Lukas Freiherr vonArjan KuijperUniversität RostockUniversität Rostock Fakultät für Informatik und ElektrotechnikMartin RadolkoRostockUniversität Rostockepub.dissertationhttp://purl.uni-rostock.de/rosdok/id00002418urn:nbn:de:gbv:28-rosdok_id00002418-710.18453/rosdok_id00002418ST 330ObjekterkennungVideobearbeitungThis thesis proposes a novel change detection approach for underwater scenarios and combines it with different especially developed spatial models, this allows accurate and spatially coherent detection of any moving objects with a static camera in arbitrary environments. To deal with the special problems of underwater imaging pre-segmentations based on the optical flow and other special adaptions were added to the change detection algorithm so that it can better handle typical underwater scenarios like a scene crowded by a whole fish swarm.20182018vorgelegt von Martin Radolko[xslt]Saxonrosdok/id00002418https://purl.uni-rostock.de/rosdok/id00002418106651844010.18453/rosdok_id00002418urn:nbn:de:gbv:28-rosdok_id00002418-7Martin RadolkoRadolko MartinChange detection in combination with spatial models and its effectiveness on underwater scenariosDissertationdoctoral thesisUniversität Rostock, 2018This thesis proposes a novel change detection approach for underwater scenarios and combines it with different especially developed spatial models, this allows accurate and spatially coherent detection of any moving objects with a static camera in arbitrary environments. To deal with the special…Martin RadolkoChange detection in combination with spatial models and its effectiveness on underwater scenariosUniversitätsbibliothek Rostockhttp://purl.uni-rostock.de/rosdok/id00002418MartinRadolko1986 -VerfasserInaut1179126467BodoUrban1953 - 2022AkademischeR BetreuerIndgs1327883570000-0003-4968-4506UweLukasFreiherr von1967 -AkademischeR BetreuerIndgs128388951ArjanKuijper1970 -AkademischeR BetreuerIndgs10361180960000-0002-6413-006138329-6Universität Rostock1419 -Grad-verleihende Institutiondgg10085032-7Universität RostockFakultät für Informatik und Elektrotechnik2004 -Grad-verleihende Institutiondgg[purl]http://purl.uni-rostock.de/rosdok/id00002418[urn]urn:nbn:de:gbv:28-rosdok_id00002418-7[doi]10.18453/rosdok_id00002418open_access20182018epoch:21th_centuryrfc5646:endoctype:epub.dissertationaccesscondition:openaccessSDNB:004institution:unirostock.iefstate:published