{"id":"https://openalex.org/W3163064460","doi":"https://doi.org/10.1109/icpr48806.2021.9412935","title":"Multi-camera Sports Players 3D Localization with Identification Reasoning","display_name":"Multi-camera Sports Players 3D Localization with Identification Reasoning","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3163064460","doi":"https://doi.org/10.1109/icpr48806.2021.9412935","mag":"3163064460"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-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/A5032351755","display_name":"Yukun Yang","orcid":"https://orcid.org/0000-0002-3570-1494"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yukun Yang","raw_affiliation_strings":["School of Electrical and Data Engineering, FEIT, University of Technology, Sydney"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, FEIT, University of Technology, Sydney","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005703475","display_name":"Ruiheng Zhang","orcid":"https://orcid.org/0000-0002-5460-7196"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ruiheng Zhang","raw_affiliation_strings":["School of Electrical and Data Engineering, FEIT, University of Technology, Sydney"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, FEIT, University of Technology, Sydney","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102005902","display_name":"Wanneng Wu","orcid":"https://orcid.org/0000-0002-1326-0974"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanneng Wu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086413877","display_name":"Yu Peng","orcid":"https://orcid.org/0000-0003-3244-838X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yu Peng","raw_affiliation_strings":["School of Electrical and Data Engineering, FEIT, University of Technology, Sydney"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, FEIT, University of Technology, Sydney","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413849","display_name":"Min Xu","orcid":"https://orcid.org/0000-0001-9581-8849"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Min Xu","raw_affiliation_strings":["School of Electrical and Data Engineering, FEIT, University of Technology, Sydney"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, FEIT, University of Technology, Sydney","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032351755"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":1.0567,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78651961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4497","last_page":"4504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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":0.9983999729156494,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9977999925613403,"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":0.7821016311645508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7151079773902893},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7138136029243469},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6064164638519287},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5498863458633423},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5359312891960144},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5261321067810059},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5191166400909424},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45271456241607666},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4273201823234558},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4165850281715393},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39267224073410034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7821016311645508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7151079773902893},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7138136029243469},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6064164638519287},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5498863458633423},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5359312891960144},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5261321067810059},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5191166400909424},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45271456241607666},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4273201823234558},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4165850281715393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39267224073410034},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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:10.1109/icpr48806.2021.9412935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1565402342","https://openalex.org/W1582696231","https://openalex.org/W1994774201","https://openalex.org/W2004972618","https://openalex.org/W2033863690","https://openalex.org/W2140387805","https://openalex.org/W2141822239","https://openalex.org/W2147629985","https://openalex.org/W2152571752","https://openalex.org/W2156222070","https://openalex.org/W2158634074","https://openalex.org/W2159680539","https://openalex.org/W2167667767","https://openalex.org/W2170296202","https://openalex.org/W2229637417","https://openalex.org/W2468368736","https://openalex.org/W2555618208","https://openalex.org/W2558630670","https://openalex.org/W2560544142","https://openalex.org/W2610694266","https://openalex.org/W2799108620","https://openalex.org/W2911017596","https://openalex.org/W2962807143","https://openalex.org/W2963150697","https://openalex.org/W2963721253","https://openalex.org/W2963727135","https://openalex.org/W2963859909","https://openalex.org/W2964062501","https://openalex.org/W3002000608","https://openalex.org/W3005466304","https://openalex.org/W6633727509","https://openalex.org/W6651815360","https://openalex.org/W6682085123","https://openalex.org/W6683562173","https://openalex.org/W6745673378"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2975200075","https://openalex.org/W2008656436","https://openalex.org/W2007544051","https://openalex.org/W2134924024","https://openalex.org/W2023558673","https://openalex.org/W1967061043","https://openalex.org/W2019566805"],"abstract_inverted_index":{"Multi-camera":[0],"sports":[1,16,107],"players":[2,69,121],"3D":[3,122],"localization":[4,31,54,144],"is":[5,131],"always":[6],"a":[7,52,79,85],"challenging":[8],"task":[9],"due":[10],"to":[11,83,105],"heavy":[12,43],"occlusions":[13,44],"in":[14],"crowded":[15],"scenes.":[17],"Traditional":[18],"methods":[19,29],"can":[20],"only":[21,119],"provide":[22],"players'":[23,108],"locations":[24,65,123],"without":[25],"identifying":[26],"information.":[27],"Existing":[28],"of":[30,64],"may":[32],"cause":[33],"ambiguous":[34],"detection":[35],"and":[36,39,87,103,111,148],"unsatisfactory":[37],"precision":[38],"recall,":[40],"especially":[41],"when":[42],"occur.":[45],"To":[46],"solve":[47],"this":[48,94],"problem,":[49],"we":[50,96],"propose":[51],"generic":[53],"method":[55,140],"by":[56,68],"providing":[57],"distinguishable":[58,132,149],"results":[59,136],"that":[60,130,138],"have":[61],"the":[62,76,142],"probabilities":[63],"being":[66],"occupied":[67],"with":[70,78,146],"unique":[71],"ID":[72,128],"labels.":[73,115],"We":[74],"design":[75],"algorithms":[77],"multi-dimensional":[80],"Bayesian":[81],"model":[82],"create":[84],"Probabilistic":[86],"Identified":[88],"Occupancy":[89],"Map":[90],"(PIOM).":[91],"By":[92],"using":[93],"model,":[95],"jointly":[97],"apply":[98],"deep":[99],"learning-based":[100],"object":[101],"segmentation":[102],"identification":[104,114],"obtain":[106],"probable":[109],"positions":[110],"their":[112,127],"likely":[113],"This":[116],"approach":[117],"not":[118],"provides":[120],"but":[124],"also":[125],"gives":[126],"information":[129],"from":[133],"others.":[134],"Experimental":[135],"demonstrate":[137],"our":[139],"outperforms":[141],"previous":[143],"approaches":[145],"reliable":[147],"outcomes.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}