{"id":"https://openalex.org/W3121972364","doi":"https://doi.org/10.2514/1.i010860","title":"Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings","display_name":"Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings","publication_year":2021,"publication_date":"2021-01-20","ids":{"openalex":"https://openalex.org/W3121972364","doi":"https://doi.org/10.2514/1.i010860","mag":"3121972364"},"language":"en","primary_location":{"id":"doi:10.2514/1.i010860","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i010860","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003914898","display_name":"Tigran Mkhoyan","orcid":"https://orcid.org/0000-0001-8550-7393"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Tigran Mkhoyan","raw_affiliation_strings":["Delft University of Technology, 2600\u00a0GB Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology, 2600\u00a0GB Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110735519","display_name":"Coen C. de Visser","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Coen C. de Visser","raw_affiliation_strings":["Delft University of Technology, 2600\u00a0GB Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology, 2600\u00a0GB Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066790805","display_name":"Roeland De Breuker","orcid":"https://orcid.org/0000-0002-7882-2173"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Roeland De Breuker","raw_affiliation_strings":["Delft University of Technology, 2600\u00a0GB Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology, 2600\u00a0GB Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003914898"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":0.3884,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.587897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"18","issue":"2","first_page":"58","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.736242413520813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7059051990509033},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6206368803977966},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.598897397518158},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5979887247085571},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5537364482879639},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5434646010398865},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4758971631526947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37033456563949585},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.09662380814552307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736242413520813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7059051990509033},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6206368803977966},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.598897397518158},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5979887247085571},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5537364482879639},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5434646010398865},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4758971631526947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37033456563949585},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.09662380814552307},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2514/1.i010860","is_oa":false,"landing_page_url":"https://doi.org/10.2514/1.i010860","pdf_url":null,"source":{"id":"https://openalex.org/S4210240151","display_name":"Journal of Aerospace Information Systems","issn_l":"2327-3097","issn":["2327-3097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315709","host_organization_name":"American Institute of Aeronautics and Astronautics","host_organization_lineage":["https://openalex.org/P4310315709"],"host_organization_lineage_names":["American Institute of Aeronautics and Astronautics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Aerospace Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:tudelft.nl:uuid:e6f3928b-3a41-40f1-b640-f8c774e6d50d","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:e6f3928b-3a41-40f1-b640-f8c774e6d50d","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7099999785423279}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321012","display_name":"Technische Universiteit Delft","ror":"https://ror.org/02e2c7k09"},{"id":"https://openalex.org/F4320321602","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt","ror":"https://ror.org/04bwf3e34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1580963329","https://openalex.org/W1610841860","https://openalex.org/W1697514459","https://openalex.org/W1972544340","https://openalex.org/W1994623790","https://openalex.org/W2000223291","https://openalex.org/W2000358470","https://openalex.org/W2022132320","https://openalex.org/W2024350978","https://openalex.org/W2041381666","https://openalex.org/W2065429801","https://openalex.org/W2106728909","https://openalex.org/W2117209779","https://openalex.org/W2133059825","https://openalex.org/W2164741953","https://openalex.org/W2168809519","https://openalex.org/W2591600145","https://openalex.org/W2617446218","https://openalex.org/W2810389956","https://openalex.org/W2899656716","https://openalex.org/W2910267742","https://openalex.org/W2910982365","https://openalex.org/W2946315857","https://openalex.org/W2998077351","https://openalex.org/W2998193166","https://openalex.org/W3146671999","https://openalex.org/W4247742782"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W2364999035","https://openalex.org/W3176449234","https://openalex.org/W2767235736","https://openalex.org/W2353158678","https://openalex.org/W4225278791","https://openalex.org/W2045002201","https://openalex.org/W2971352445","https://openalex.org/W4322502698","https://openalex.org/W1997160662"],"abstract_inverted_index":{"Advancements":[0],"in":[1,180],"aircraft":[2,9],"controller":[3],"design,":[4],"paired":[5],"with":[6,86,125,141,188,193],"increasingly":[7],"flexible":[8,175],"concepts,":[10],"create":[11],"the":[12,15,49,60,94,98,107,118,189],"need":[13],"for":[14,24,69],"development":[16],"of":[17,44,51,73,100,129,144,173],"novel":[18,153],"(smart)":[19],"adaptive":[20,82],"sensing":[21],"methods":[22,40],"suitable":[23],"aeroelastic":[25],"state":[26],"estimation.":[27],"A":[28],"potentially":[29],"universal":[30],"and":[31,81,92],"noninvasive":[32],"approach":[33,68,162],"is":[34,111,127,159,163],"visual":[35,74],"tracking.":[36],"However,":[37],"many":[38],"tracking":[39,53],"require":[41],"manual":[42],"selection":[43],"initial":[45],"marker":[46,95,101],"locations":[47],"at":[48,132],"start":[50],"a":[52,64,104,136,142,152,174,181,194],"sequence.":[54],"This":[55,161],"study":[56],"aims":[57],"to":[58,90],"address":[59],"gap":[61],"by":[62],"investigating":[63],"robust":[65],"machine":[66],"learning":[67],"unsupervised":[70],"automatic":[71],"labeling":[72],"markers.":[75],"The":[76,122],"method":[77],"uses":[78],"fast":[79],"DBSCAN":[80,108,126],"image":[83,139],"segmentation":[84],"pipeline":[85,124],"hue-saturation-value":[87],"color":[88],"filter":[89],"extract":[91],"label":[93],"centers":[96],"under":[97],"presence":[99],"failure.":[102],"In":[103],"comparative":[105],"study,":[106],"clustering":[109,116],"performance":[110],"assessed":[112],"against":[113,150],"an":[114,166,185],"alternative":[115],"method,":[117],"disjoint-set":[119],"data":[120],"structure.":[121],"segmentation-clustering":[123],"capable":[128],"running":[130],"real-time":[131],"250":[133],"FPS":[134],"on":[135,165],"single":[137],"camera":[138,171],"sequence":[140],"resolution":[143],"1088\u00d7600":[145],"pixels.":[146],"To":[147],"increase":[148],"robustness":[149],"noise,":[151],"formulation":[154],"(the":[155],"inverse":[156],"DBSCAN,":[157],")":[158],"introduced.":[160],"validated":[164],"experimental":[167],"dataset":[168],"collected":[169],"from":[170],"observations":[172],"wing":[176],"undergoing":[177],"gust":[178],"excitations":[179],"wind":[182],"tunnel,":[183],"demonstrating":[184],"excellent":[186],"match":[187],"ground":[190],"truth":[191],"obtained":[192],"laser":[195],"vibrometer":[196],"measurement":[197],"system.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
