{"id":"https://openalex.org/W4387961426","doi":"https://doi.org/10.1145/3606038.3616161","title":"Rink-Agnostic Hockey Rink Registration","display_name":"Rink-Agnostic Hockey Rink Registration","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387961426","doi":"https://doi.org/10.1145/3606038.3616161"},"language":"en","primary_location":{"id":"doi:10.1145/3606038.3616161","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606038.3616161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports","raw_type":"proceedings-article"},"type":"conference-paper","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/A5014497718","display_name":"Jia Cheng Shang","orcid":"https://orcid.org/0009-0001-5405-021X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jia Cheng Shang","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0009-0001-5405-021X","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321260","display_name":"Yuhao Chen","orcid":"https://orcid.org/0000-0001-6094-0545"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yuhao Chen","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-6094-0545","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040284711","display_name":"Mohammad Javad Shafiee","orcid":"https://orcid.org/0000-0001-5989-8255"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad Javad Shafiee","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5989-8255","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066149942","display_name":"David A. Clausi","orcid":"https://orcid.org/0000-0002-6383-0875"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David A. Clausi","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-6383-0875","affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9961000084877014,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9961000084877014,"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":0.9889000058174133,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7644234299659729},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5487476587295532},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5352644920349121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4894973039627075},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4448928236961365},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4364808201789856},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3762260377407074},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07366743683815002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7644234299659729},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5487476587295532},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5352644920349121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4894973039627075},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4448928236961365},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4364808201789856},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3762260377407074},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07366743683815002},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606038.3616161","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606038.3616161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322675","display_name":"Mitacs","ror":"https://ror.org/00cjrc276"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1992989752","https://openalex.org/W2085261163","https://openalex.org/W2117228865","https://openalex.org/W2151103935","https://openalex.org/W2412782625","https://openalex.org/W2746441252","https://openalex.org/W2963351448","https://openalex.org/W2964309882","https://openalex.org/W2967775316","https://openalex.org/W2980223643","https://openalex.org/W2990360655","https://openalex.org/W3015873503","https://openalex.org/W3035401278","https://openalex.org/W3116516133","https://openalex.org/W3116724277","https://openalex.org/W3120804725","https://openalex.org/W3170544306","https://openalex.org/W3176659256","https://openalex.org/W3211490618","https://openalex.org/W3217147624","https://openalex.org/W4206118287","https://openalex.org/W4212935147","https://openalex.org/W4292793888","https://openalex.org/W4386047746"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W3037187668","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W4234772502","https://openalex.org/W1533421371","https://openalex.org/W2159024673","https://openalex.org/W2003050223","https://openalex.org/W3001987467","https://openalex.org/W2968165261"],"abstract_inverted_index":{"Hockey":[0],"rink":[1,27,71,80,94,100,145],"registration":[2,81],"is":[3,136],"a":[4,30,78],"useful":[5],"tool":[6],"for":[7],"aiding":[8],"and":[9,65,92,102,116,125,142,147],"automating":[10],"sports":[11],"analysis.":[12],"When":[13],"combined":[14],"with":[15,96],"player":[16],"tracking,":[17],"it":[18],"can":[19,34,59,86,154],"provide":[20],"location":[21],"information":[22],"of":[23,43,129],"players":[24],"on":[25,68,138,163],"the":[26,44,69,103,127,148],"by":[28],"estimating":[29],"homography":[31],"matrix":[32],"that":[33,151],"warp":[35],"broadcast":[36],"video":[37,104],"frames":[38],"onto":[39],"an":[40,98],"overhead":[41,99],"template":[42,101],"rink,":[45],"or":[46],"vice":[47],"versa.":[48],"However,":[49],"most":[50],"existing":[51],"techniques":[52],"require":[53],"accurate":[54],"ground":[55],"truth":[56],"information,":[57],"which":[58],"take":[60],"many":[61],"hours":[62],"to":[63,89,121,156],"annotate,":[64],"only":[66,97],"work":[67],"trained":[70],"types.":[72],"In":[73],"this":[74,123],"paper,":[75],"we":[76],"propose":[77],"generalized":[79],"pipeline":[82,109],"that,":[83],"once":[84],"trained,":[85],"be":[87],"applied":[88],"both":[90,139],"seen":[91],"unseen":[93],"types":[95],"frame":[105],"as":[106],"inputs.":[107],"Our":[108],"uses":[110],"domain":[111],"adaptation":[112],"techniques,":[113],"semi-supervised":[114],"learning,":[115],"synthetic":[117],"data":[118,146],"during":[119],"training":[120,131],"achieve":[122],"ability":[124],"overcome":[126],"lack":[128],"non-NHL":[130,143,157],"data.":[132],"The":[133],"proposed":[134],"method":[135],"evaluated":[137],"NHL":[140,164],"(source)":[141],"(target)":[144],"results":[149],"demonstrate":[150],"our":[152],"approach":[153],"generalize":[155],"rinks,":[158],"while":[159],"maintaining":[160],"competitive":[161],"performance":[162],"rinks.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}