{"id":"https://openalex.org/W2803043047","doi":"https://doi.org/10.1109/lsp.2018.2825309","title":"A High-Speed, Real-Time Vision System for Texture Tracking and Thread Counting","display_name":"A High-Speed, Real-Time Vision System for Texture Tracking and Thread Counting","publication_year":2018,"publication_date":"2018-04-10","ids":{"openalex":"https://openalex.org/W2803043047","doi":"https://doi.org/10.1109/lsp.2018.2825309","mag":"2803043047"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2018.2825309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2825309","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1812.04115","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuting Hu","orcid":"https://orcid.org/0000-0003-1246-5561"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuting Hu","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Tehcnology, Atlanta, Georgia"],"raw_orcid":"https://orcid.org/0000-0003-1246-5561","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Tehcnology, Atlanta, Georgia","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhiling Long","orcid":"https://orcid.org/0000-0002-1018-8591"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiling Long","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Tehcnology, Atlanta, Georgia"],"raw_orcid":"https://orcid.org/0000-0002-1018-8591","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Tehcnology, Atlanta, Georgia","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ghassan AlRegib","orcid":"https://orcid.org/0000-0001-6818-8001"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ghassan AlRegib","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Tehcnology, Atlanta, Georgia"],"raw_orcid":"https://orcid.org/0000-0001-6818-8001","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Tehcnology, Atlanta, Georgia","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.2905,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83758754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":"6","first_page":"758","last_page":"762"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.5127999782562256,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.5127999782562256,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.059700001031160355,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.03709999844431877,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/thread","display_name":"Thread (computing)","score":0.6820999979972839},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.487199991941452},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4643000066280365},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.3734999895095825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3700000047683716},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.36559998989105225},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.36230000853538513},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.3522999882698059},{"id":"https://openalex.org/keywords/feature-tracking","display_name":"Feature tracking","score":0.35030001401901245}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7555000185966492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7501999735832214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6955000162124634},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.6820999979972839},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.487199991941452},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3734999895095825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.36230000853538513},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.3522999882698059},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.35030001401901245},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.3418000042438507},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3386000096797943},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.32919999957084656},{"id":"https://openalex.org/C29168087","wikidata":"https://www.wikidata.org/wiki/Q1026711","display_name":"Blob detection","level":5,"score":0.32280001044273376},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.32019999623298645},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.301800012588501},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C2778787235","wikidata":"https://www.wikidata.org/wiki/Q49007","display_name":"Yarn","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C2778307483","wikidata":"https://www.wikidata.org/wiki/Q5149038","display_name":"Colored","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.26190000772476196}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2018.2825309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2825309","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1812.04115","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.04115","pdf_url":"https://arxiv.org/pdf/1812.04115","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1812.04115","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.04115","pdf_url":"https://arxiv.org/pdf/1812.04115","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W819977924","https://openalex.org/W1521461170","https://openalex.org/W1832973934","https://openalex.org/W2046434485","https://openalex.org/W2085261163","https://openalex.org/W2098564157","https://openalex.org/W2105666116","https://openalex.org/W2111308925","https://openalex.org/W2111589119","https://openalex.org/W2119605622","https://openalex.org/W2141584146","https://openalex.org/W2170339527","https://openalex.org/W2203760849","https://openalex.org/W2515800123","https://openalex.org/W2516003060","https://openalex.org/W2518260411","https://openalex.org/W2602747466","https://openalex.org/W2773506448","https://openalex.org/W6677548441","https://openalex.org/W6725167649"],"related_works":[],"abstract_inverted_index":{"In":[0,40,100,148],"garment":[1],"manufacturing,":[2],"an":[3,45],"automatic":[4,186],"sewing":[5,38],"machine":[6],"is":[7,19,157],"desirable":[8],"to":[9,21,78,93,108],"reduce":[10],"cost.":[11],"To":[12],"accomplish":[13],"this,":[14],"a":[15,34,37,59,73,110,131],"high-speed":[16],"vision":[17],"system":[18,156],"required":[20],"track":[22],"fabric":[23,162],"motions":[24],"and":[25,52,67,90,124,169,174],"recognize":[26],"repetitive":[27,140],"weave":[28,53,81,141],"patterns":[29],"with":[30,163],"high":[31,164,175,183],"accuracy,":[32],"from":[33],"microperspective":[35],"near":[36],"zone.":[39],"this":[41],"letter,":[42],"we":[43],"present":[44],"innovative":[46],"framework":[47,57],"for":[48,61,75,145,185],"real-time":[49,187],"texture":[50,154],"tracking":[51,155,160],"pattern":[54,82],"recognition.":[55,83],"Our":[56,84],"includes":[58,72],"module":[60,74],"motion":[62],"estimation":[63],"using":[64],"blob":[65,88],"detection":[66,77,89],"feature":[68],"matching.":[69],"It":[70],"also":[71],"lattice":[76,132],"facilitate":[79],"the":[80,114,121,125,128,135,139,151],"lattice-detection":[85],"algorithm":[86,129],"utilizes":[87],"template":[91],"matching":[92],"assess":[94],"pair-wise":[95],"similarity":[96,123],"in":[97,113,120],"blobs'":[98],"appearance.":[99],"addition,":[101],"it":[102],"extracts":[103],"information":[104],"of":[105,138,159],"dominant":[106],"orientations":[107],"obtain":[109],"global":[111,126],"constraint":[112],"topology.":[115],"By":[116],"incorporating":[117],"both":[118],"constraints":[119],"appearance":[122],"topology,":[127],"determines":[130],"that":[133],"characterizes":[134],"topological":[136],"structure":[137],"pattern,":[142],"thus":[143],"allowing":[144],"thread":[146],"counting.":[147],"our":[149],"experiments,":[150],"proposed":[152],"thread-based":[153],"capable":[158],"denim":[161],"accuracy":[165],"(e.g.,":[166],"0.03\u00b0":[167],"rotation":[168],"0.02":[170],"weave-thread":[171],"translation":[172],"errors)":[173],"speed":[176],"(3":[177],"frames":[178],"per":[179],"second),":[180],"demonstrating":[181],"its":[182],"potential":[184],"textile":[188],"manufacturing.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2018-05-17T00:00:00"}