{"id":"https://openalex.org/W3022275077","doi":"https://doi.org/10.1109/access.2020.3033580","title":"Detection of Ice Hockey Players and Teams via a Two-Phase Cascaded CNN Model","display_name":"Detection of Ice Hockey Players and Teams via a Two-Phase Cascaded CNN Model","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3022275077","doi":"https://doi.org/10.1109/access.2020.3033580","mag":"3022275077"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3033580","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09239271.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09239271.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047816048","display_name":"Tianxiao Guo","orcid":"https://orcid.org/0000-0003-0064-5338"},"institutions":[{"id":"https://openalex.org/I87710204","display_name":"Beijing Sport University","ror":"https://ror.org/03w0k0x36","country_code":"CN","type":"education","lineage":["https://openalex.org/I87710204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxiao Guo","raw_affiliation_strings":["School of Sports Science, Beijing Sport University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Sports Science, Beijing Sport University, Beijing, China","institution_ids":["https://openalex.org/I87710204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083054305","display_name":"Kuan Tao","orcid":"https://orcid.org/0000-0003-0363-9865"},"institutions":[{"id":"https://openalex.org/I87710204","display_name":"Beijing Sport University","ror":"https://ror.org/03w0k0x36","country_code":"CN","type":"education","lineage":["https://openalex.org/I87710204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuan Tao","raw_affiliation_strings":["School of Sports Engineering, Beijing Sport University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Sports Engineering, Beijing Sport University, Beijing, China","institution_ids":["https://openalex.org/I87710204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058699823","display_name":"Qingrui Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I87710204","display_name":"Beijing Sport University","ror":"https://ror.org/03w0k0x36","country_code":"CN","type":"education","lineage":["https://openalex.org/I87710204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingrui Hu","raw_affiliation_strings":["School of Sports Science, Beijing Sport University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Sports Science, Beijing Sport University, Beijing, China","institution_ids":["https://openalex.org/I87710204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103187066","display_name":"Yanfei Shen","orcid":"https://orcid.org/0000-0002-8093-7754"},"institutions":[{"id":"https://openalex.org/I87710204","display_name":"Beijing Sport University","ror":"https://ror.org/03w0k0x36","country_code":"CN","type":"education","lineage":["https://openalex.org/I87710204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Shen","raw_affiliation_strings":["School of Sports Engineering, Beijing Sport University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Sports Engineering, Beijing Sport University, Beijing, China","institution_ids":["https://openalex.org/I87710204"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"fwci":1.427,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":17,"citation_normalized_percentile":{"value":0.849329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":91},"biblio":{"volume":"8","issue":null,"first_page":"195062","last_page":"195073"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9872,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9872,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9757,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11674","display_name":"Sports Analytics and Performance","score":0.9677,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ice-hockey","display_name":"Ice hockey","score":0.9187134}],"concepts":[{"id":"https://openalex.org/C2993743986","wikidata":"https://www.wikidata.org/wiki/Q41466","display_name":"Ice hockey","level":2,"score":0.9187134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029142},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.51195467},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.09881309},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.067664415},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3033580","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09239271.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/0162f5b975314d17ba37841f39cd9ccd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3033580","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09239271.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.81,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"72071018"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"11901037"},{"funder":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities","award_id":"2020042"}],"datasets":[],"versions":[],"referenced_works_count":50,"referenced_works":["https://openalex.org/W133582637","https://openalex.org/W1566053757","https://openalex.org/W1825459403","https://openalex.org/W1932624639","https://openalex.org/W1934410531","https://openalex.org/W1979594474","https://openalex.org/W1988790447","https://openalex.org/W1991773164","https://openalex.org/W2010012530","https://openalex.org/W2095705004","https://openalex.org/W2097961159","https://openalex.org/W2102605133","https://openalex.org/W2163605009","https://openalex.org/W2164598857","https://openalex.org/W2181817108","https://openalex.org/W2187932643","https://openalex.org/W2258484932","https://openalex.org/W2279710946","https://openalex.org/W2343018738","https://openalex.org/W2473640056","https://openalex.org/W2474389331","https://openalex.org/W2534345498","https://openalex.org/W2545266867","https://openalex.org/W2571453198","https://openalex.org/W2600812268","https://openalex.org/W2603804919","https://openalex.org/W2613718673","https://openalex.org/W2738617613","https://openalex.org/W2796347433","https://openalex.org/W2800106325","https://openalex.org/W2801788382","https://openalex.org/W2813911573","https://openalex.org/W2888926166","https://openalex.org/W2921444963","https://openalex.org/W2963037989","https://openalex.org/W2963112696","https://openalex.org/W2963150697","https://openalex.org/W2964107628","https://openalex.org/W2964153894","https://openalex.org/W2995602252","https://openalex.org/W3012573144","https://openalex.org/W3017309755","https://openalex.org/W3019334562","https://openalex.org/W3019986960","https://openalex.org/W3041878189","https://openalex.org/W3105809585","https://openalex.org/W3106250896","https://openalex.org/W3134260163","https://openalex.org/W4293584584","https://openalex.org/W639708223"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W3140262113","https://openalex.org/W3021017311","https://openalex.org/W2979904472","https://openalex.org/W2953110752","https://openalex.org/W2899084033","https://openalex.org/W2771899524","https://openalex.org/W2748952813","https://openalex.org/W2085903997","https://openalex.org/W1841536913"],"abstract_inverted_index":{"The":[0,191],"accurate":[1,155],"detection":[2,70,84,101,144,156,225],"of":[3,17,102,111,126,145,160,165,174,183,198,216],"ice":[4,104],"hockey":[5,41,105],"players":[6,19,61,114,148,169],"and":[7,23,28,37,51,74,107,134,141,162,170],"teams":[8,208],"during":[9,65],"a":[10,43,66,89,158,163,180],"game":[11],"is":[12,29,42,97,115],"crucial":[13],"to":[14,47,117,212,220],"the":[15,21,52,60,100,108,112,127,132,143,146,187,194,199,214,228,232],"tracking":[16],"individual":[18,103,168],"on":[20],"rink":[22],"team":[24,83,120,177],"tactical":[25],"decision":[26],"making":[27],"therefore":[30],"becoming":[31],"an":[32,154,171],"important":[33],"task":[34],"for":[35,82,99,167,176,193],"coaches":[36],"other":[38],"analysts.":[39],"However,":[40],"fluid":[44],"sport":[45],"due":[46],"its":[48],"complex":[49],"situation":[50],"frequent":[53],"substitutions":[54],"by":[55],"both":[56],"teams,":[57],"resulting":[58,152],"in":[59,138,149,153],"taking":[62],"various":[63],"postures":[64],"game.":[67],"Few":[68],"player":[69,224],"models":[71],"from":[72,186],"basketball":[73],"soccer":[75],"take":[76],"these":[77],"characteristics":[78],"into":[79],"account,":[80],"especially":[81],"without":[85],"prior":[86],"annotations.":[87],"Here,":[88],"two-phase":[90],"cascaded":[91],"convolutional":[92],"neural":[93],"network":[94],"(CNN)":[95],"model":[96,123,226],"designed":[98],"players,":[106],"jersey":[109],"color":[110],"detected":[113],"extracted":[116],"further":[118],"identify":[119],"affiliations.":[121],"Our":[122],"filters":[124],"most":[125],"disturbing":[128],"information,":[129],"such":[130],"as":[131],"audience":[133],"sideline":[135],"advertising":[136],"bars,":[137],"Phase":[139,150],"I":[140],"refines":[142],"targeted":[147],"II,":[151],"with":[157,179,231],"precision":[159],"98.75%":[161],"recall":[164],"94.11%":[166],"average":[172],"accuracy":[173,230],"93.05%":[175],"classification":[178],"self-built":[181,233],"dataset":[182],"collected":[184],"images":[185],"2018":[188],"Winter":[189],"Olympics.":[190],"results":[192],"regular":[195],"season":[196],"games":[197],"2019-2020":[200],"National":[201],"Hockey":[202],"League":[203],"(NHL)":[204],"covering":[205],"all":[206],"31":[207],"are":[209],"also":[210],"presented":[211],"show":[213],"robustness":[215],"our":[217,223],"model.":[218],"Compared":[219],"state-of-the-art":[221],"approaches,":[222],"achieves":[227],"highest":[229],"dataset.":[234]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3022275077","counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2024-12-30T02:19:45.873578","created_date":"2020-05-13"}