{"id":"https://openalex.org/W4388720398","doi":"https://doi.org/10.1109/iecon51785.2023.10312494","title":"A Residual Attention-based EfficientNet Homography Estimation Model for Sports Field Registration","display_name":"A Residual Attention-based EfficientNet Homography Estimation Model for Sports Field Registration","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4388720398","doi":"https://doi.org/10.1109/iecon51785.2023.10312494"},"language":"en","primary_location":{"id":"doi:10.1109/iecon51785.2023.10312494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon51785.2023.10312494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","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/A5050896315","display_name":"Yin May Oo","orcid":"https://orcid.org/0009-0007-8604-9460"},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yin May Oo","raw_affiliation_strings":["AI Robotics University of Science and Technology,Daejeon,Republic of Korea,34113"],"affiliations":[{"raw_affiliation_string":"AI Robotics University of Science and Technology,Daejeon,Republic of Korea,34113","institution_ids":["https://openalex.org/I88761825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090907568","display_name":"Ankhzaya Jamsrandorj","orcid":"https://orcid.org/0000-0001-9236-057X"},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ankhzaya Jamsrandorj","raw_affiliation_strings":["Human Computer Interface and Robotics, University of Science and Technology,Daejeon,Republic of Korea,34113"],"affiliations":[{"raw_affiliation_string":"Human Computer Interface and Robotics, University of Science and Technology,Daejeon,Republic of Korea,34113","institution_ids":["https://openalex.org/I88761825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046970279","display_name":"Vanyi Chao","orcid":null},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Vanyi Chao","raw_affiliation_strings":["AI Robotics University of Science and Technology,Daejeon,Republic of Korea,34113"],"affiliations":[{"raw_affiliation_string":"AI Robotics University of Science and Technology,Daejeon,Republic of Korea,34113","institution_ids":["https://openalex.org/I88761825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103024951","display_name":"Kyung-Ryoul Mun","orcid":"https://orcid.org/0000-0001-5951-1014"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung-Ryoul Mun","raw_affiliation_strings":["Center for Artificial Intelligence, Korea Institute of Science and Technology,Seoul,Republic of Korea,02792"],"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Korea Institute of Science and Technology,Seoul,Republic of Korea,02792","institution_ids":["https://openalex.org/I58716616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100649390","display_name":"Jinwook Kim","orcid":"https://orcid.org/0000-0001-6767-8914"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinwook Kim","raw_affiliation_strings":["Center for Artificial Intelligence, Korea Institute of Science and Technology,Seoul,Republic of Korea,02792"],"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Korea Institute of Science and Technology,Seoul,Republic of Korea,02792","institution_ids":["https://openalex.org/I58716616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050896315"],"corresponding_institution_ids":["https://openalex.org/I88761825"],"apc_list":null,"apc_paid":null,"fwci":0.9781,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78423329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9929999709129333,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.979200005531311,"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":0.9080462455749512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7708503007888794},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6962848901748657},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6559163331985474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6262784004211426},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49178674817085266},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3208805322647095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11954116821289062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11764594912528992},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08162662386894226}],"concepts":[{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.9080462455749512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7708503007888794},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6962848901748657},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6559163331985474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6262784004211426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49178674817085266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3208805322647095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11954116821289062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11764594912528992},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08162662386894226},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon51785.2023.10312494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon51785.2023.10312494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1992989752","https://openalex.org/W2085261163","https://openalex.org/W2108598243","https://openalex.org/W2124404372","https://openalex.org/W2151103935","https://openalex.org/W2259801182","https://openalex.org/W2605146214","https://openalex.org/W2746441252","https://openalex.org/W2955425717","https://openalex.org/W2963346260","https://openalex.org/W2967775316","https://openalex.org/W3015873503","https://openalex.org/W3116724277","https://openalex.org/W3145444543","https://openalex.org/W3204788735","https://openalex.org/W4212935147","https://openalex.org/W4281490544","https://openalex.org/W4292793888","https://openalex.org/W6762718338","https://openalex.org/W6802023977","https://openalex.org/W6838288710"],"related_works":["https://openalex.org/W4313151434","https://openalex.org/W2050662190","https://openalex.org/W1997252062","https://openalex.org/W2899509464","https://openalex.org/W2159857203","https://openalex.org/W2560215812","https://openalex.org/W67284269","https://openalex.org/W2157223712","https://openalex.org/W2469958882","https://openalex.org/W2559811894"],"abstract_inverted_index":{"Accurate":[0],"sports":[1,14,50,75,96],"field":[2,37,51],"registration":[3],"plays":[4],"a":[5,44,59],"crucial":[6],"role":[7],"in":[8,107],"computer":[9],"vision":[10],"for":[11,49,85],"effective":[12],"team":[13],"analysis,":[15],"as":[16],"it":[17],"provides":[18],"the":[19,25,54,66,82,94,104],"ability":[20],"to":[21,35,64,73,98],"track":[22],"and":[23,28],"recognize":[24],"positions,":[26],"movements,":[27],"interactions":[29],"of":[30],"players":[31],"from":[32],"image":[33],"space":[34],"real-world":[36],"space.":[38],"In":[39,53],"this":[40],"paper,":[41],"we":[42,57],"propose":[43],"two-stage":[45],"deep":[46],"learning":[47],"framework":[48],"registration.":[52],"first-stage":[55],"network,":[56],"utilize":[58],"Residual":[60],"EfficientNet-Attention":[61],"U-Net":[62],"architecture":[63],"estimate":[65],"initial":[67,83],"homography":[68,84],"matrix":[69],"using":[70],"predefined":[71],"keypoints":[72],"register":[74],"fields.":[76],"Subsequently,":[77],"our":[78,90],"second-stage":[79],"network":[80],"refines":[81],"improved":[86],"accuracy.":[87],"We":[88],"evaluate":[89],"proposed":[91],"method":[92],"on":[93],"public":[95],"datasets":[97],"show":[99],"its":[100],"outperform":[101],"results":[102],"against":[103],"state-of-the-art":[105],"methods":[106],"some":[108],"evaluation":[109],"metrics.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
