{"id":"https://openalex.org/W2948831004","doi":"https://doi.org/10.1109/access.2019.2920633","title":"Towards Robust and Accurate Single-View Fast Human Motion Capture","display_name":"Towards Robust and Accurate Single-View Fast Human Motion Capture","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2948831004","doi":"https://doi.org/10.1109/access.2019.2920633","mag":"2948831004"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2920633","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920633","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08730349.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08730349.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100664157","display_name":"Tao Yu","orcid":"https://orcid.org/0000-0002-3818-5069"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Yu","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079643583","display_name":"Jianhui Zhao","orcid":"https://orcid.org/0000-0002-5275-4846"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Zhao","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029106788","display_name":"Yuan-Hao Huang","orcid":"https://orcid.org/0000-0001-6781-7312"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanhao Huang","raw_affiliation_strings":["ORBBEC Company Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"ORBBEC Company Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101799190","display_name":"Yipeng Li","orcid":"https://orcid.org/0000-0001-9099-4077"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yipeng Li","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032875389","display_name":"Yebin Liu","orcid":"https://orcid.org/0000-0003-3215-0225"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yebin Liu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100664157"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1234,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82116586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"85548","last_page":"85559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"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/T12290","display_name":"Human Motion and Animation","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8422003984451294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7788719534873962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7301857471466064},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.7069796919822693},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6803680658340454},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.6448410153388977},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6406997442245483},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.5575456023216248},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.49356353282928467},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4527662992477417},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4363609552383423},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.4284774363040924},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.06054168939590454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8422003984451294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7788719534873962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7301857471466064},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.7069796919822693},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6803680658340454},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.6448410153388977},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6406997442245483},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.5575456023216248},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.49356353282928467},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4527662992477417},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4363609552383423},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.4284774363040924},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.06054168939590454},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2920633","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920633","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08730349.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:27ff031320f1438b8b134276cf5908fd","is_oa":true,"landing_page_url":"https://doaj.org/article/27ff031320f1438b8b134276cf5908fd","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 85548-85559 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2920633","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920633","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08730349.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2175924615","display_name":"Planning Project for the STEM Center for Research and Development - Increasing Minority Students in STEM Disciplines","funder_award_id":"1531014","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2369027321","display_name":null,"funder_award_id":"51574012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2954195706","display_name":null,"funder_award_id":"51574","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3377456395","display_name":null,"funder_award_id":"61522111","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3967380794","display_name":null,"funder_award_id":"61531014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G463422062","display_name":null,"funder_award_id":"61166002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5487219052","display_name":null,"funder_award_id":"61861166002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6147759415","display_name":null,"funder_award_id":"61522111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6301092877","display_name":null,"funder_award_id":"6186116600","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G786213171","display_name":null,"funder_award_id":"61827805","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2948831004.pdf","grobid_xml":"https://content.openalex.org/works/W2948831004.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1482274752","https://openalex.org/W1496316025","https://openalex.org/W1541388462","https://openalex.org/W1938204631","https://openalex.org/W1966718790","https://openalex.org/W1967437522","https://openalex.org/W1967554269","https://openalex.org/W1977039804","https://openalex.org/W1989191365","https://openalex.org/W2005984284","https://openalex.org/W2040322039","https://openalex.org/W2063155154","https://openalex.org/W2079846689","https://openalex.org/W2089384364","https://openalex.org/W2109752307","https://openalex.org/W2110434318","https://openalex.org/W2113148808","https://openalex.org/W2113325037","https://openalex.org/W2121969814","https://openalex.org/W2122578066","https://openalex.org/W2142540472","https://openalex.org/W2146506577","https://openalex.org/W2149276699","https://openalex.org/W2152047877","https://openalex.org/W2156094778","https://openalex.org/W2172156083","https://openalex.org/W2175012183","https://openalex.org/W2195191570","https://openalex.org/W2221659194","https://openalex.org/W2300198213","https://openalex.org/W2307770531","https://openalex.org/W2333544554","https://openalex.org/W2400958808","https://openalex.org/W2404595106","https://openalex.org/W2522527348","https://openalex.org/W2559085405","https://openalex.org/W2607483565","https://openalex.org/W2611932403","https://openalex.org/W2776768244","https://openalex.org/W2797515701","https://openalex.org/W2798637590","https://openalex.org/W2802537919","https://openalex.org/W2894678789","https://openalex.org/W2894878561","https://openalex.org/W2962754033","https://openalex.org/W2962865163","https://openalex.org/W2963515833","https://openalex.org/W2963688992","https://openalex.org/W2963708869","https://openalex.org/W2963732450","https://openalex.org/W2963873475","https://openalex.org/W2963995996","https://openalex.org/W2964219767","https://openalex.org/W2964304707","https://openalex.org/W6695897618","https://openalex.org/W6748370023","https://openalex.org/W6756349810"],"related_works":["https://openalex.org/W2049273678","https://openalex.org/W2168622369","https://openalex.org/W2142439098","https://openalex.org/W2157391823","https://openalex.org/W1579157894","https://openalex.org/W2164117788","https://openalex.org/W4253668313","https://openalex.org/W2130582613","https://openalex.org/W2053176442","https://openalex.org/W2523743514"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,13,40,74,123],"new":[4],"method":[5,112],"for":[6,24,50,84],"fast":[7,51,102],"human":[8,20,29,45,86,118,130],"motion":[9,30,46,64,82,87,119,131],"capture":[10,88,120],"based":[11],"on":[12],"single":[14],"RGB-D":[15],"sensor.":[16],"By":[17],"leveraging":[18],"the":[19,26,54,94,110],"pose":[21],"detection":[22],"results":[23,105],"reinitializing":[25],"ICP-based":[27],"sequential":[28],"tracking":[31,34,47,60,65,95],"algorithm":[32],"when":[33],"failure":[35],"happens,":[36],"our":[37],"system":[38],"achieves":[39,113],"highly":[41,114],"robust":[42,117],"and":[43,56,101,106,116,134],"accurate":[44,115],"performance":[48,121],"even":[49],"motion.":[52,103],"Moreover,":[53],"calculation":[55],"utilization":[57],"of":[58],"semantic":[59,80],"loss":[61],"enable":[62],"body-part-level":[63],"refinement,":[66],"which":[67],"is":[68,89],"better":[69],"than":[70],"whole-body":[71],"refinement.":[72],"Finally,":[73],"simple":[75],"yet":[76],"effective":[77],"post-processing":[78],"method,":[79],"bidirectional":[81],"blending,":[83],"single-view":[85],"proposed":[90,111],"to":[91],"further":[92],"improve":[93],"accuracy,":[96],"especially":[97],"under":[98],"severe":[99],"occlusions":[100],"The":[104],"experiments":[107],"demonstrate":[108],"that":[109],"in":[122],"very":[124],"efficient":[125],"way.":[126],"Applications":[127],"include":[128],"AR&VR,":[129],"analysis,":[132],"movie,":[133],"gaming.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
