{"id":"https://openalex.org/W4392944427","doi":"https://doi.org/10.1109/iceic61013.2024.10457125","title":"Robust 3D Hand Tracking with Multi-View Videos","display_name":"Robust 3D Hand Tracking with Multi-View Videos","publication_year":2024,"publication_date":"2024-01-28","ids":{"openalex":"https://openalex.org/W4392944427","doi":"https://doi.org/10.1109/iceic61013.2024.10457125"},"language":"en","primary_location":{"id":"doi:10.1109/iceic61013.2024.10457125","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic61013.2024.10457125","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 Electronics, Information, and Communication (ICEIC)","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/A5102916130","display_name":"Jongyoo Kim","orcid":"https://orcid.org/0000-0002-2435-9195"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jongyoo Kim","raw_affiliation_strings":["Microsoft Research Asia,Beijing,China","Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia,Beijing,China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100320181","display_name":"Sanghoon Lee","orcid":"https://orcid.org/0000-0001-9895-5347"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghoon Lee","raw_affiliation_strings":["Yonsei University,Seoul,Korea","Yonsei University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei University, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102916130"],"corresponding_institution_ids":["https://openalex.org/I4210113369"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02631916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9829000234603882,"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":0.9653000235557556,"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":0.7091888785362244},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6999586820602417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6310544610023499},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5516513586044312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091888785362244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6999586820602417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6310544610023499},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5516513586044312},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic61013.2024.10457125","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic61013.2024.10457125","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 Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G247553694","display_name":null,"funder_award_id":"2020R1A2C3011697","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2012856192","https://openalex.org/W2033819227","https://openalex.org/W2072050751","https://openalex.org/W2798581336","https://openalex.org/W2891831103","https://openalex.org/W2892644985","https://openalex.org/W2897765997","https://openalex.org/W2916798096","https://openalex.org/W2962730651","https://openalex.org/W2962811204","https://openalex.org/W2972662547","https://openalex.org/W3000511201","https://openalex.org/W3012271087","https://openalex.org/W3097149808","https://openalex.org/W3119780049","https://openalex.org/W3175199633","https://openalex.org/W3204597830","https://openalex.org/W4224992933","https://openalex.org/W4298014233","https://openalex.org/W6767768160","https://openalex.org/W6802412291","https://openalex.org/W6809664228"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,65,110],"introduce":[4],"a":[5,19],"robust":[6,117],"3D":[7,60],"hand":[8,22,61,70],"tracking":[9],"framework":[10,92],"using":[11],"multi-view":[12],"video,":[13],"designed":[14],"for":[15],"the":[16,55,94,113],"construction":[17],"of":[18,59],"database.":[20],"For":[21],"pose":[23,62,71],"estimation,":[24],"real-world":[25,108],"videos":[26],"present":[27],"frequent":[28],"challenging":[29,120],"scenarios,":[30],"where":[31],"current":[32],"methods":[33],"could":[34],"fail,":[35],"such":[36],"as":[37],"complex":[38],"finger":[39],"poses,":[40],"two-hand":[41,81],"interactions,":[42],"and":[43,57,74,80,88,102],"self-occluded":[44],"situations.":[45],"To":[46],"address":[47],"these":[48],"challenges,":[49],"our":[50,91],"focus":[51],"lies":[52],"in":[53],"enhancing":[54],"robustness":[56],"stability":[58],"tracking.":[63],"Firstly,":[64],"leverage":[66],"multiple":[67],"pre-trained":[68],"2D":[69],"estimation":[72],"algorithms,":[73],"combine":[75],"them":[76],"based":[77],"on":[78,107],"confidence":[79],"interactions.":[82],"Additionally,":[83],"to":[84,118],"consider":[85],"both":[86],"cross-frame":[87],"cross-view":[89],"consistency,":[90],"optimizes":[93],"entire":[95],"joints":[96],"with":[97],"three":[98],"objectives:":[99],"data,":[100,109],"guidance,":[101],"feature":[103],"constraints.":[104],"Throughout":[105],"evaluation":[106],"show":[111],"that":[112],"proposed":[114],"method":[115],"is":[116],"various":[119],"cases.":[121]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}