{"id":"https://openalex.org/W4391898156","doi":"https://doi.org/10.1007/s11063-024-11463-w","title":"Moving Object Detection Method Based on the Fusion of Online Moving Window Robust Principal Component Analysis and Frame Difference Method","display_name":"Moving Object Detection Method Based on the Fusion of Online Moving Window Robust Principal Component Analysis and Frame Difference Method","publication_year":2024,"publication_date":"2024-02-17","ids":{"openalex":"https://openalex.org/W4391898156","doi":"https://doi.org/10.1007/s11063-024-11463-w"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-024-11463-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11463-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11463-w.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11463-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012783415","display_name":"Quan Zhang","orcid":"https://orcid.org/0000-0002-2042-2054"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Q. L. Zhang","raw_affiliation_strings":["China Inst FTZ Supply Chain, Shanghai Maritime University, Shanghai, 200135, China"],"affiliations":[{"raw_affiliation_string":"China Inst FTZ Supply Chain, Shanghai Maritime University, Shanghai, 200135, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087541439","display_name":"Shiliang Li","orcid":"https://orcid.org/0000-0001-7922-3730"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"S. L. Li","raw_affiliation_strings":["School of Logistics Engineering, Shanghai Maritime University, Shanghai, 200135, China"],"affiliations":[{"raw_affiliation_string":"School of Logistics Engineering, Shanghai Maritime University, Shanghai, 200135, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035164097","display_name":"Junyi Duan","orcid":"https://orcid.org/0000-0002-1484-033X"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"J. G. Duan","raw_affiliation_strings":["China Inst FTZ Supply Chain, Shanghai Maritime University, Shanghai, 200135, China"],"affiliations":[{"raw_affiliation_string":"China Inst FTZ Supply Chain, Shanghai Maritime University, Shanghai, 200135, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102003628","display_name":"Jian Qin","orcid":"https://orcid.org/0000-0001-9369-8185"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"J. Y. Qin","raw_affiliation_strings":["China Inst FTZ Supply Chain, Shanghai Maritime University, Shanghai, 200135, China"],"affiliations":[{"raw_affiliation_string":"China Inst FTZ Supply Chain, Shanghai Maritime University, Shanghai, 200135, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103232390","display_name":"Yuan Zhou","orcid":"https://orcid.org/0000-0002-7846-8629"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Y. Zhou","raw_affiliation_strings":["China Inst FTZ Supply Chain, Shanghai Maritime University, Shanghai, 200135, China"],"affiliations":[{"raw_affiliation_string":"China Inst FTZ Supply Chain, Shanghai Maritime University, Shanghai, 200135, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087541439"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.591,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89456418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"56","issue":"2","first_page":null,"last_page":null},"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":0.9990000128746033,"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":0.9990000128746033,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9965000152587891,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7788873910903931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6638915538787842},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6122408509254456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5781744122505188},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5658444762229919},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5554547905921936},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5539098978042603},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4922236502170563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4580051898956299},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4469607174396515},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4444766938686371},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.42885932326316833},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4265693128108978},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10619020462036133}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7788873910903931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6638915538787842},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6122408509254456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5781744122505188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5658444762229919},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5554547905921936},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5539098978042603},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4922236502170563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4580051898956299},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4469607174396515},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4444766938686371},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.42885932326316833},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4265693128108978},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10619020462036133},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-024-11463-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11463-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11463-w.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-024-11463-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11463-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11463-w.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391898156.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W982529452","https://openalex.org/W1513013675","https://openalex.org/W1573546770","https://openalex.org/W1967336819","https://openalex.org/W2018341990","https://openalex.org/W2066004842","https://openalex.org/W2091741383","https://openalex.org/W2102625004","https://openalex.org/W2145962650","https://openalex.org/W2165916500","https://openalex.org/W2169941235","https://openalex.org/W2461893856","https://openalex.org/W2591340095","https://openalex.org/W2618422320","https://openalex.org/W2782346981","https://openalex.org/W2794681665","https://openalex.org/W2887843685","https://openalex.org/W2893184996","https://openalex.org/W2896633068","https://openalex.org/W2897432612","https://openalex.org/W2951401720","https://openalex.org/W2959181218","https://openalex.org/W2987878306","https://openalex.org/W3012523803","https://openalex.org/W3045938091","https://openalex.org/W3103526270","https://openalex.org/W4295277374"],"related_works":["https://openalex.org/W4252230435","https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2046761971","https://openalex.org/W3144722888","https://openalex.org/W2089650474","https://openalex.org/W2364896863","https://openalex.org/W2389189059"],"abstract_inverted_index":{"Abstract":[0],"The":[1,23,124],"accuracy":[2,13],"of":[3,14,20,102,111,177,186],"moving":[4,21,47,137],"object":[5,48,138],"detection":[6,49,139],"has":[7,28],"a":[8,46,108,112],"great":[9],"impact":[10],"on":[11],"the":[12,16,52,69,73,77,84,89,100,128,135,144,151,155,166,174,178,183],"extracting":[15],"shape":[17,130],"center":[18,131],"coordinates":[19,132],"workpieces.":[22],"classic":[24],"inter-frame":[25],"difference":[26,54,180],"method":[27,55,181],"\"cavity\"":[29,90],"and":[30,56,80,86,91,154,182],"\"double":[31,92],"shadow\"":[32,93],"issues":[33],"for":[34],"workpieces":[35],"with":[36,173],"comparable":[37],"internal":[38],"colors.":[39],"In":[40],"order":[41],"to":[42,71,83,143],"solve":[43],"this":[44],"problem,":[45],"algorithm":[50,140,176],"combining":[51],"three-frame":[53],"Online":[57,184],"Moving":[58],"Window":[59],"Robust":[60],"Principal":[61],"Component":[62],"Analysis":[63],"(OMWRPCA)":[64],"is":[65,171],"proposed.":[66],"By":[67],"using":[68],"OMWRPCA":[70],"extract":[72],"background":[74,103],"image":[75],"in":[76,117],"current":[78,87],"frame":[79,179],"comparing":[81],"it":[82],"previous":[85],"frames,":[88],"problems":[94],"are":[95,141,158,162],"avoided":[96],"as":[97,99],"well":[98],"effects":[101],"pixels.":[104],"This":[105],"paper":[106],"presents":[107],"case":[109],"study":[110],"visual":[113],"sorting":[114],"experiment":[115],"bench":[116],"an":[118],"\"intelligent":[119],"manufacturing":[120],"production":[121],"demonstration":[122],"line\".":[123],"experiments":[125],"show":[126],"that":[127],"workpiece":[129],"obtained":[133,149],"by":[134,150],"improved":[136],"closer":[142],"actual":[145],"value":[146],"than":[147,165],"those":[148],"traditional":[152,175],"algorithm,":[153],"F-measure":[156],"scores":[157],"above":[159],"0.8,":[160],"which":[161],"more":[163],"accurate":[164],"other":[167],"two":[168],"algorithms.":[169],"It":[170],"compared":[172],"Mixture":[185],"Gaussian":[187],"Matrix":[188],"Factorization":[189],"(OMoGMF).":[190]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
