{"id":"https://openalex.org/W806873573","doi":"https://doi.org/10.1117/12.2197034","title":"Robust hand tracking with on-line and off-line learning","display_name":"Robust hand tracking with on-line and off-line learning","publication_year":2015,"publication_date":"2015-07-06","ids":{"openalex":"https://openalex.org/W806873573","doi":"https://doi.org/10.1117/12.2197034","mag":"806873573"},"language":"en","primary_location":{"id":"doi:10.1117/12.2197034","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2197034","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5082952153","display_name":"Jiangyue Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangyue Wei","raw_affiliation_strings":["Peking Univ.  (China)","Peking Univ, (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking Univ.  (China)","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking Univ, (China)","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078656823","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0002-7999-1083"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["Peking Univ.  (China)","Peking Univ, (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking Univ.  (China)","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking Univ, (China)","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119756553","display_name":"Hao Liang","orcid":"https://orcid.org/0000-0002-5709-2634"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liang","raw_affiliation_strings":["Peking Univ. (China)","Peking Univ, (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking Univ. (China)","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking Univ, (China)","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001535643","display_name":"Ruzhong Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruzhong Cheng","raw_affiliation_strings":["Peking Univ. (China)","Peking Univ, (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking Univ. (China)","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking Univ, (China)","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114256380","display_name":"Yiqun Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqun Wei","raw_affiliation_strings":["Peking Univ.  (China)","Peking Univ, (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking Univ.  (China)","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking Univ, (China)","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00641319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9631","issue":null,"first_page":"96312G","last_page":"96312G"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9993000030517578,"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":0.9993000030517578,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9973999857902527,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9937000274658203,"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":0.844780683517456},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7366827726364136},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7079750299453735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6604688167572021},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5756725668907166},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4851427972316742},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4738362729549408},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.45066511631011963},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.439473420381546},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3503326177597046},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06596425175666809}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.844780683517456},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7366827726364136},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7079750299453735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6604688167572021},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5756725668907166},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4851427972316742},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4738362729549408},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.45066511631011963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.439473420381546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3503326177597046},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06596425175666809},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2197034","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2197034","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-72608","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000360230700087","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1977995219","https://openalex.org/W2078088780","https://openalex.org/W2137940226","https://openalex.org/W2161406034","https://openalex.org/W2164598857","https://openalex.org/W6684392942"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W1566995892","https://openalex.org/W2583763619"],"abstract_inverted_index":{"Hand":[0],"tracking":[1,29,44,103],"is":[2,30,121],"becoming":[3],"more":[4,6,122],"and":[5],"popular":[7],"in":[8,19,33,41,124],"the":[9,53,71,91,106,118,125],"field":[10],"of":[11,17,43,75,93],"human-computer":[12],"interaction":[13],"(HCI).":[14],"A":[15],"lot":[16],"studies":[18],"this":[20,76],"area":[21],"have":[22],"made":[23],"good":[24],"progress.":[25],"However,":[26],"robust":[27,123],"hand":[28,102],"still":[31],"difficult":[32],"long-term.":[34],"On-line":[35],"learning":[36,49,59,83,107],"technology":[37,60],"has":[38],"great":[39],"potential":[40],"terms":[42],"for":[45,101],"its":[46],"strong":[47],"adaptive":[48],"ability.":[50],"To":[51],"address":[52],"problem":[54],"we":[55,80,97],"combined":[56],"an":[57,65,86],"on-line":[58,62,94],"called":[61],"boosting":[63],"with":[64,85,114],"off-line":[66,87],"trained":[67],"detector":[68],"to":[69,89],"track":[70],"hand.":[72],"The":[73,109],"contributions":[74],"paper":[77],"are:":[78],"1)":[79],"propose":[81],"a":[82,99],"method":[84],"model":[88],"solve":[90],"drift":[92],"learning;":[95],"2)":[96],"build":[98],"framework":[100],"based":[104],"on":[105],"method.":[108],"experiments":[110],"show":[111],"that":[112],"compared":[113],"other":[115],"three":[116],"methods,":[117],"proposed":[119],"tracker":[120],"strain":[126],"case.":[127]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}