{"id":"https://openalex.org/W4319302687","doi":"https://doi.org/10.1109/tcsvt.2023.3243126","title":"A Four-Point Camera Calibration Method for Sport Videos","display_name":"A Four-Point Camera Calibration Method for Sport Videos","publication_year":2023,"publication_date":"2023-02-06","ids":{"openalex":"https://openalex.org/W4319302687","doi":"https://doi.org/10.1109/tcsvt.2023.3243126"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3243126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3243126","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","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/A5006187125","display_name":"Neng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]},{"id":"https://openalex.org/I2799858192","display_name":"London School of Business and Management","ror":"https://ror.org/01j1n1798","country_code":"GB","type":"education","lineage":["https://openalex.org/I2799858192"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Neng Zhang","raw_affiliation_strings":["Multimedia and Vision Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Multimedia and Vision Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079","https://openalex.org/I2799858192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058530878","display_name":"Ebroul Izquierdo","orcid":"https://orcid.org/0000-0002-7142-3970"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]},{"id":"https://openalex.org/I2799858192","display_name":"London School of Business and Management","ror":"https://ror.org/01j1n1798","country_code":"GB","type":"education","lineage":["https://openalex.org/I2799858192"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ebroul Izquierdo","raw_affiliation_strings":["Multimedia and Vision Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Multimedia and Vision Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079","https://openalex.org/I2799858192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006187125"],"corresponding_institution_ids":["https://openalex.org/I166337079","https://openalex.org/I2799858192"],"apc_list":null,"apc_paid":null,"fwci":1.929,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87855845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"33","issue":"8","first_page":"3811","last_page":"3821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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":0.9994999766349792,"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/T10638","display_name":"Optical measurement and interference techniques","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/T11439","display_name":"Video Analysis and Summarization","score":0.9955000281333923,"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/homography","display_name":"Homography","score":0.8483333587646484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7609354257583618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7566958665847778},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.571994960308075},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5536646246910095},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4929220676422119},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41817522048950195},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41675910353660583},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.4123286306858063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3258143663406372},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16544410586357117}],"concepts":[{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.8483333587646484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7609354257583618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7566958665847778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.571994960308075},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5536646246910095},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4929220676422119},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41817522048950195},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41675910353660583},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.4123286306858063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3258143663406372},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16544410586357117},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3243126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3243126","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W64973891","https://openalex.org/W603908379","https://openalex.org/W1572353651","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2023834842","https://openalex.org/W2101544546","https://openalex.org/W2140278677","https://openalex.org/W2177478906","https://openalex.org/W2194775991","https://openalex.org/W2345819731","https://openalex.org/W2494996413","https://openalex.org/W2585881402","https://openalex.org/W2605146214","https://openalex.org/W2608340797","https://openalex.org/W2737486526","https://openalex.org/W2746441252","https://openalex.org/W2769651498","https://openalex.org/W2799800285","https://openalex.org/W2805093171","https://openalex.org/W2963073614","https://openalex.org/W2963346260","https://openalex.org/W2967775316","https://openalex.org/W2975866549","https://openalex.org/W2988766935","https://openalex.org/W3008191939","https://openalex.org/W3013497113","https://openalex.org/W3015873503","https://openalex.org/W3034438849","https://openalex.org/W3035401278","https://openalex.org/W3044723170","https://openalex.org/W3104373337","https://openalex.org/W3118453581","https://openalex.org/W3159989918","https://openalex.org/W3173332661","https://openalex.org/W4205125245","https://openalex.org/W4206118287","https://openalex.org/W4294982626","https://openalex.org/W4301454730","https://openalex.org/W6602664633","https://openalex.org/W6618372016","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6718003766","https://openalex.org/W6774038835"],"related_works":["https://openalex.org/W2499396280","https://openalex.org/W4301898213","https://openalex.org/W3215536744","https://openalex.org/W1607978875","https://openalex.org/W2771220351","https://openalex.org/W2346696187","https://openalex.org/W1979960730","https://openalex.org/W2089833520","https://openalex.org/W2135703580","https://openalex.org/W2209726245"],"abstract_inverted_index":{"The":[0,110,212,225,242],"main":[1],"objective":[2],"of":[3,36,53,75,122,198,254,265],"camera":[4,64],"calibration":[5,65],"is":[6,67,85,95,112,145,189,202,215,250,270],"to":[7,29,41,69,87,113,175,230],"estimate":[8,136],"the":[9,17,34,51,127,154,159,163,168,177,192,196,199,231,247,261,266,286,291],"homography":[10,201],"between":[11],"a":[12,21,54,62,79,96,131,140,183,219],"sports":[13],"field":[14,19],"template":[15],"and":[16,167,234,256,263,279],"corresponding":[18],"in":[20,252],"video":[22,91,143],"frame.":[23],"State-of-the-art":[24],"approaches":[25,45,233],"exploit":[26],"deep-learning":[27],"technologies":[28],"achieve":[30],"this":[31,60,148,180],"aim.":[32],"However,":[33],"lack":[35],"large":[37],"training":[38,108],"datasets":[39],"leads":[40],"unreliable":[42],"results.":[43],"Search-based":[44],"deliver":[46],"better":[47],"accuracy":[48,197,255],"but":[49],"at":[50,152],"expense":[52],"very":[55],"high":[56],"computational":[57,156,257],"cost.":[58,157],"In":[59,147,158,179,191,282],"paper,":[61],"four-point":[63],"method":[66,214,249,288],"proposed":[68,213,248,267,287],"address":[70],"these":[71,283],"challenges.":[72],"It":[73],"consists":[74],"four":[76,123,137,165,171],"stages:":[77],"first,":[78],"conditional":[80],"generative":[81],"adversarial":[82],"network":[83,133],"(cGAN)":[84],"used":[86,174],"generate":[88],"meaningfully":[89],"segmented":[90,142],"frames.":[92],"This":[93],"cGAN":[94],"general":[97],"image-to-image":[98],"translation":[99],"technique":[100],"which":[101,134],"has":[102],"robust":[103],"performance":[104],"even":[105],"for":[106,126],"small":[107],"datasets.":[109],"aim":[111,151],"eliminate":[114],"foreground":[115],"objects":[116],"that":[117,246],"greatly":[118],"impede":[119],"accurate":[120],"estimation":[121],"suitable":[124],"points":[125,138,166,172],"subsequent":[128],"stage.":[129],"Then,":[130],"regression":[132],"can":[135],"from":[139],"single":[141],"frame":[144],"introduced.":[146],"stage":[149,182],"we":[150],"keeping":[153],"low":[155],"next":[160],"processing":[161,194],"stage,":[162,195],"estimated":[164,200],"original":[169],"selected":[170],"are":[173,228],"calculate":[176],"homography.":[178],"third":[181],"Direct":[184],"Linear":[185],"Transformation":[186],"(DLT)":[187],"algorithm":[188],"applied.":[190],"last":[193],"refined":[203],"by":[204],"running":[205],"an":[206],"Enhanced":[207],"Correlation":[208],"Coefficient":[209],"(ECC)":[210],"module.":[211],"extensively":[216],"evaluated":[217],"using":[218],"standard":[220],"2014":[221],"World":[222,277],"Cup":[223,278],"dataset.":[224,281],"obtained":[226,243],"results":[227,244],"compared":[229],"state-of-the-art":[232],"its":[235],"variations":[236],"based":[237],"on":[238,273],"U-net,":[239],"VGG-16,":[240],"ResNet-50.":[241],"show":[245],"superior":[251],"terms":[253],"efficiency.":[258],"To":[259],"demonstrate":[260],"effectiveness":[262],"robustness":[264],"method,":[268],"it":[269],"also":[271],"validated":[272],"National":[274],"Basketball,":[275],"2018":[276],"cross":[280],"diverse":[284],"environments,":[285],"still":[289],"maintains":[290],"competitive":[292],"performance.":[293]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}