{"id":"https://openalex.org/W4402594033","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674193","title":"A Cost-effective Training Scheme for Person Re-Identification in Soccer Matches","display_name":"A Cost-effective Training Scheme for Person Re-Identification in Soccer Matches","publication_year":2024,"publication_date":"2024-07-09","ids":{"openalex":"https://openalex.org/W4402594033","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674193"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan62264.2024.10674193","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan62264.2024.10674193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","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/A5109491372","display_name":"Yu-Yung Kao","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Yung Kao","raw_affiliation_strings":["National Taiwan Normal University,Department of Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"National Taiwan Normal University,Department of Electrical Engineering","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021001528","display_name":"Po\u2010Yung Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Po-Yung Chou","raw_affiliation_strings":["National Taiwan Normal University,Department of Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"National Taiwan Normal University,Department of Electrical Engineering","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011289357","display_name":"Cheng-Hung Lin","orcid":"https://orcid.org/0000-0003-0044-3840"},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Hung Lin","raw_affiliation_strings":["National Taiwan Normal University,Department of Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"National Taiwan Normal University,Department of Electrical Engineering","institution_ids":["https://openalex.org/I134161618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109491372"],"corresponding_institution_ids":["https://openalex.org/I134161618"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15469221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"455","last_page":"456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.980400025844574,"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/T11448","display_name":"Face recognition and analysis","score":0.980400025844574,"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/T10828","display_name":"Biometric Identification and Security","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9526000022888184,"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/training","display_name":"Training (meteorology)","score":0.7128193378448486},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.698968768119812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6732524633407593},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6729780435562134},{"id":"https://openalex.org/keywords/identification-scheme","display_name":"Identification scheme","score":0.5102601051330566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.461791068315506},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44038158655166626},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3239445984363556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1938800811767578},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14459863305091858}],"concepts":[{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.7128193378448486},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.698968768119812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6732524633407593},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6729780435562134},{"id":"https://openalex.org/C2778922385","wikidata":"https://www.wikidata.org/wiki/Q3475620","display_name":"Identification scheme","level":3,"score":0.5102601051330566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.461791068315506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44038158655166626},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3239445984363556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1938800811767578},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14459863305091858},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan62264.2024.10674193","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce-taiwan62264.2024.10674193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2963351448","https://openalex.org/W3186413649","https://openalex.org/W6769981643","https://openalex.org/W6839013497"],"related_works":["https://openalex.org/W2047028599","https://openalex.org/W52733585","https://openalex.org/W2372764048","https://openalex.org/W2387272121","https://openalex.org/W2800872028","https://openalex.org/W4252363454","https://openalex.org/W2378650763","https://openalex.org/W2133994567","https://openalex.org/W2164808481","https://openalex.org/W2100694577"],"abstract_inverted_index":{"In":[0],"soccer":[1,30],"matches,":[2],"Person":[3],"Re-identification":[4],"(ReID)":[5],"technology":[6],"plays":[7],"a":[8,53,87,132,151],"crucial":[9],"role":[10],"in":[11,40,76,156,163],"analyzing":[12],"the":[13,33,37,103],"position":[14],"information":[15],"and":[16,64,121,161],"statistics":[17],"of":[18,36,154],"each":[19,66],"player.":[20,67],"Besides,":[21],"multiple":[22],"cameras":[23,42],"are":[24],"used":[25],"to":[26,59,85,94,113],"capture":[27],"players":[28],"during":[29],"matches.":[31],"However,":[32],"appearance":[34,62],"features":[35,63],"same":[38],"player":[39],"different":[41],"may":[43],"exhibit":[44],"significant":[45],"differences,":[46],"which":[47],"makes":[48],"person":[49,77],"identification":[50],"difficult.":[51],"Therefore,":[52],"robust":[54],"ReID":[55,70,96,115,152],"model":[56,89,126],"is":[57,100,129],"required":[58],"obtain":[60],"distinctive":[61],"identify":[65],"Although":[68],"existing":[69],"technologies":[71],"have":[72],"achieved":[73],"excellent":[74],"performance":[75,116,153],"identification,":[78],"they":[79],"typically":[80],"require":[81],"expensive":[82],"computational":[83],"resources":[84],"train":[86,142],"high-accuracy":[88],"for":[90],"feature":[91],"extraction.":[92],"Compared":[93],"conventional":[95],"approaches,":[97],"this":[98],"research":[99],"built":[101],"upon":[102],"Vision":[104],"Transformer":[105],"(ViT),":[106],"focusing":[107],"on":[108,131],"batch-wise":[109],"sample":[110],"imbalance":[111],"issues":[112],"enhance":[114],"within":[117],"limited":[118],"batch":[119],"memory":[120],"less":[122],"training":[123,127],"data.":[124,143],"Our":[125],"process":[128],"performed":[130],"single":[133],"24GB":[134],"Nvidia":[135],"RTX-3090":[136],"graphic":[137],"card":[138],"with":[139],"23%":[140],"SoccerNet":[141],"The":[144],"experimental":[145],"results":[146],"show":[147],"our":[148],"approach":[149],"achieves":[150],"82%":[155],"mean":[157],"average":[158],"precision":[159],"(mAP)":[160],"76%":[162],"rank1.":[164]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}