{"id":"https://openalex.org/W3118894736","doi":"https://doi.org/10.1155/2021/6610760","title":"[Retracted] Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video","display_name":"[Retracted] Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3118894736","doi":"https://doi.org/10.1155/2021/6610760","mag":"3118894736"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6610760","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6610760","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/6610760.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/6610760.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089464203","display_name":"Qingjie Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingjie Chen","raw_affiliation_strings":["School of Political Science and Public Administration, Shandong University, Jinan 250100, Shandong, China","School of Sports and Health, Linyi University, Linyi 276000, Shandong, China","School of Sports and Health, Linyi University, Linyi 276000, Shandong","School of Political Science and Public Administration, Shandong University, Jinan 250100, Shandong"],"affiliations":[{"raw_affiliation_string":"School of Political Science and Public Administration, Shandong University, Jinan 250100, Shandong, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Sports and Health, Linyi University, Linyi 276000, Shandong, China","institution_ids":["https://openalex.org/I15823474"]},{"raw_affiliation_string":"School of Sports and Health, Linyi University, Linyi 276000, Shandong","institution_ids":["https://openalex.org/I15823474"]},{"raw_affiliation_string":"School of Political Science and Public Administration, Shandong University, Jinan 250100, Shandong","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058071799","display_name":"Minkai Dong","orcid":"https://orcid.org/0000-0001-9828-2269"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minkai Dong","raw_affiliation_strings":["P.E. Department, Shanghai University of Finance and Economics, Yangpu, Shanghai 200433, China","P.E. Department, Shanghai University of Finance and Economics, Yangpu, Shanghai 200433"],"affiliations":[{"raw_affiliation_string":"P.E. Department, Shanghai University of Finance and Economics, Yangpu, Shanghai 200433, China","institution_ids":["https://openalex.org/I181679659"]},{"raw_affiliation_string":"P.E. Department, Shanghai University of Finance and Economics, Yangpu, Shanghai 200433","institution_ids":["https://openalex.org/I181679659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058071799"],"corresponding_institution_ids":["https://openalex.org/I181679659"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.4803,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62864379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9937000274658203,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9937000274658203,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9921000003814697,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9883999824523926,"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":0.8009350895881653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7344262003898621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7197821736335754},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.6137136816978455},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5296630263328552},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4868899881839752},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22065076231956482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8009350895881653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7344262003898621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7197821736335754},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.6137136816978455},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5296630263328552},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4868899881839752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22065076231956482}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/6610760","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6610760","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/6610760.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f833496ddf54424d8a1070c1ea03b2dd","is_oa":true,"landing_page_url":"https://doaj.org/article/f833496ddf54424d8a1070c1ea03b2dd","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/6610760","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6610760","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/6610760.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7752208263","display_name":null,"funder_award_id":"17BTY084","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"}],"funders":[{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3118894736.pdf","grobid_xml":"https://content.openalex.org/works/W3118894736.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1996629253","https://openalex.org/W2298775145","https://openalex.org/W2512061097","https://openalex.org/W2533803229","https://openalex.org/W2557620775","https://openalex.org/W2563185728","https://openalex.org/W2613721368","https://openalex.org/W2618206831","https://openalex.org/W2753804268","https://openalex.org/W2773325192","https://openalex.org/W2783265663","https://openalex.org/W2799426870","https://openalex.org/W2839110515","https://openalex.org/W2888636531","https://openalex.org/W2912834795","https://openalex.org/W2913890194","https://openalex.org/W2962837596","https://openalex.org/W2971167546","https://openalex.org/W2979888694","https://openalex.org/W2979896433","https://openalex.org/W2981546759","https://openalex.org/W2981893938","https://openalex.org/W3005007202","https://openalex.org/W3013734979","https://openalex.org/W3015959804","https://openalex.org/W3016252728","https://openalex.org/W3022778813","https://openalex.org/W4231330741"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W2185623406"],"abstract_inverted_index":{"In":[0,260],"the":[1,6,16,24,28,57,89,95,103,111,116,119,134,151,157,163,169,172,178,183,186,198,206,214,223,233,242,249,264,273],"research":[2],"of":[3,27,38,54,92,118,222,266,275],"motion":[4,17,25,82,97,105,187,212],"video,":[5],"existing":[7],"target":[8,31,58,125,200,257,268,280],"detection":[9,32,53,83,98,106,126,137],"methods":[10],"are":[11,65,210],"susceptible":[12],"to":[13,45,79,168,254,262],"changes":[14],"in":[15,56,67,110],"video":[18,50],"scene":[19],"and":[20,52,60,102,128,132,155,182,185,196,241,279,282],"cannot":[21],"accurately":[22],"detect":[23],"state":[26],"target.":[29],"Moving":[30],"technology":[33],"is":[34,44,100,108,166,175,190,201,217,245],"an":[35,69],"important":[36,70],"branch":[37],"computer":[39],"vision":[40],"technology.":[41],"Its":[42],"function":[43],"implement":[46],"real\u2010time":[47,49,85],"monitoring,":[48],"capture,":[51],"objects":[55],"area":[59],"store":[61],"information":[62],"that":[63,162,221],"users":[64],"interested":[66],"as":[68],"basis":[71],"for":[72,148],"exercise.":[73],"This":[74,113],"article":[75,114],"focuses":[76],"on":[77,84],"how":[78],"efficiently":[80],"perform":[81],"video.":[86],"By":[87],"introducing":[88],"mathematical":[90,193],"model":[91,147,277],"image":[93,174],"processing,":[94],"traditional":[96],"algorithm":[99,107],"improved":[101,104],"implemented":[109],"system.":[112],"combines":[115],"advantages":[117],"widely":[120],"used":[121],"frame":[122],"difference":[123,130,179],"method,":[124],"algorithm,":[127],"background":[129,276],"method":[131,138,274],"introduces":[133],"moving":[135,199,267],"object":[136],"combining":[139],"these":[140],"two":[141],"algorithms.":[142],"When":[143],"using":[144],"Gaussian":[145,159],"mixture":[146],"modeling,":[149],"improve":[150,263],"parts":[152],"with":[153],"differences,":[154],"keep":[156],"unmatched":[158],"distribution":[160],"so":[161],"modeling":[164],"effect":[165],"similar":[167],"actual":[170],"background;":[171],"binary":[173],"obtained":[176],"through":[177,192],"between":[180],"frames":[181],"threshold,":[184],"change":[188],"domain":[189],"extracted":[191],"morphological":[194],"filtering,":[195],"finally,":[197],"detected.":[202],"The":[203],"experiment":[204],"proved":[205],"following:":[207],"when":[208],"there":[209],"more":[211],"states,":[213],"recall":[215],"rate":[216,236],"slightly":[218],"better":[219],"than":[220,248],"VIBE":[224],"algorithm.":[225],"It":[226],"decreased":[227],"about":[228,239],"0.05":[229],"or":[230],"so,":[231],"but":[232],"relative":[234],"accuracy":[235,265],"increased":[237],"by":[238],"0.12,":[240],"increase":[243],"ratio":[244],"significantly":[246],"higher":[247],"decrease":[250],"ratio.":[251],"Departments":[252],"need":[253],"adopt":[255],"effective":[256],"extraction":[258,281],"methods.":[259],"order":[261],"detection,":[269],"this":[270],"paper":[271],"studies":[272],"establishment":[278],"proposes":[283],"its":[284],"own":[285],"improvement.":[286]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-01-18T00:00:00"}