{"id":"https://openalex.org/W4388226579","doi":"https://doi.org/10.1142/s0219467825500378","title":"Automatic Tracking Method for 3D Human Motion Pose Using Contrastive Learning","display_name":"Automatic Tracking Method for 3D Human Motion Pose Using Contrastive Learning","publication_year":2023,"publication_date":"2023-11-01","ids":{"openalex":"https://openalex.org/W4388226579","doi":"https://doi.org/10.1142/s0219467825500378"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467825500378","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467825500378","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5022317603","display_name":"Zhipeng Li","orcid":"https://orcid.org/0009-0003-4520-4955"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhipeng Li","raw_affiliation_strings":["Winter Olympic College, Harbin Sport University, Harbin 150008, P. R. China"],"raw_orcid":"https://orcid.org/0009-0003-4520-4955","affiliations":[{"raw_affiliation_string":"Winter Olympic College, Harbin Sport University, Harbin 150008, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103000622","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-5676-6481"},"institutions":[{"id":"https://openalex.org/I1308199089","display_name":"Harbin University","ror":"https://ror.org/00ey9xa07","country_code":"CN","type":"education","lineage":["https://openalex.org/I1308199089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["College of Physical Education and Training, Harbin Sport University, Harbin 150008, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-5676-6481","affiliations":[{"raw_affiliation_string":"College of Physical Education and Training, Harbin Sport University, Harbin 150008, P. R. China","institution_ids":["https://openalex.org/I1308199089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070957723","display_name":"Lijun Hua","orcid":"https://orcid.org/0009-0008-2189-2569"},"institutions":[{"id":"https://openalex.org/I1308199089","display_name":"Harbin University","ror":"https://ror.org/00ey9xa07","country_code":"CN","type":"education","lineage":["https://openalex.org/I1308199089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Hua","raw_affiliation_strings":["College of Physical Education and Training, Harbin Sport University, Harbin 150008, P. R. China"],"raw_orcid":"https://orcid.org/0009-0008-2189-2569","affiliations":[{"raw_affiliation_string":"College of Physical Education and Training, Harbin Sport University, Harbin 150008, P. R. China","institution_ids":["https://openalex.org/I1308199089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042049917","display_name":"Honghui Liu","orcid":"https://orcid.org/0009-0009-4816-848X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghui Liu","raw_affiliation_strings":["College of Humanities, Harbin Institute of Technology (Shenzhen), Shenzhen 518000, P. R. China"],"raw_orcid":"https://orcid.org/0009-0009-4816-848X","affiliations":[{"raw_affiliation_string":"College of Humanities, Harbin Institute of Technology (Shenzhen), Shenzhen 518000, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009259536","display_name":"Wenli Song","orcid":"https://orcid.org/0000-0003-3867-4927"},"institutions":[{"id":"https://openalex.org/I1308199089","display_name":"Harbin University","ror":"https://ror.org/00ey9xa07","country_code":"CN","type":"education","lineage":["https://openalex.org/I1308199089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenli Song","raw_affiliation_strings":["College of Physical Education and Training, Harbin Sport University, Harbin 150008, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-3867-4927","affiliations":[{"raw_affiliation_string":"College of Physical Education and Training, Harbin Sport University, Harbin 150008, P. R. China","institution_ids":["https://openalex.org/I1308199089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009259536"],"corresponding_institution_ids":["https://openalex.org/I1308199089"],"apc_list":null,"apc_paid":null,"fwci":1.2443,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80959346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"24","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9670000076293945,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.840837836265564},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8203635215759277},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7247454524040222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7225212454795837},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5955479145050049},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.5518426299095154},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5322838425636292},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.503720223903656},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4703170359134674},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.459524929523468},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4264671504497528},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20361918210983276},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.07234218716621399}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.840837836265564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8203635215759277},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7247454524040222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225212454795837},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5955479145050049},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.5518426299095154},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5322838425636292},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.503720223903656},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4703170359134674},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.459524929523468},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4264671504497528},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20361918210983276},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.07234218716621399},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467825500378","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467825500378","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W3133244736","https://openalex.org/W3133452651","https://openalex.org/W3138555712","https://openalex.org/W3142851483","https://openalex.org/W3159704063","https://openalex.org/W3165917671","https://openalex.org/W3175528201","https://openalex.org/W3196592706","https://openalex.org/W3200429949","https://openalex.org/W4200338434","https://openalex.org/W4285223072","https://openalex.org/W4313251487","https://openalex.org/W4403586982"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2026674073","https://openalex.org/W2053820737","https://openalex.org/W1484667368","https://openalex.org/W1988727984","https://openalex.org/W2114253841","https://openalex.org/W2105413810","https://openalex.org/W13825435","https://openalex.org/W2382763213","https://openalex.org/W2156669420"],"abstract_inverted_index":{"Automatic":[0],"tracking":[1,23,32,36,44,161,169,183,229,233],"of":[2,61,69,91,104,110,124,131,151,170],"three-dimensional":[3],"(3D)":[4],"human":[5,24,48,63,71,93,133,145,165,172,217],"motion":[6,25,49,64,72,94,134,146,166,173,218],"pose":[7,26,50,147],"has":[8],"the":[9,58,83,89,98,102,108,119,143,152,181,194,211,222],"potential":[10],"to":[11,81,118,127],"provide":[12],"corresponding":[13],"technical":[14],"support":[15],"in":[16,191,227],"various":[17],"fields.":[18],"However,":[19],"existing":[20],"methods":[21],"for":[22,46,163],"suffer":[27],"from":[28],"significant":[29],"errors,":[30],"long":[31],"times":[33],"and":[34,87,201,230],"suboptimal":[35],"results.":[37,234],"To":[38],"address":[39],"these":[40],"issues,":[41],"an":[42,159],"automatic":[43,160,168,228],"method":[45,213],"3D":[47,62,70,92,132,144,164,171,216],"using":[51,57],"contrastive":[52,111,125],"learning":[53,126],"is":[54,79,116,175,185,188,197],"proposed.":[55],"By":[56,157],"feature":[59,99],"parameters":[60,68,86,100,130],"poses,":[65,135,167,219],"threshold":[66,84,103],"variation":[67,85],"poses":[73,95,174],"are":[74,155],"computed.":[75],"The":[76],"golden":[77],"section":[78],"introduced":[80],"transform":[82],"extract":[88,128],"features":[90],"by":[96],"comparing":[97],"with":[101,137],"parameter":[105],"variation.":[106],"Under":[107],"supervision":[109,122],"learning,":[112],"a":[113],"constraint":[114],"loss":[115],"added":[117],"local\u2013global":[120],"deep":[121],"module":[123],"local":[129,139],"combined":[136],"their":[138],"features.":[140],"After":[141],"normalizing":[142],"images,":[148],"frame":[149],"differences":[150],"background":[153],"image":[154],"calculated.":[156],"constructing":[158],"model":[162],"achieved.":[176],"Experimental":[177],"results":[178],"demonstrate":[179],"that":[180,210],"highest":[182],"lag":[184],"9%,":[186],"there":[187],"no":[189],"deviation":[190],"node":[192],"tracking,":[193],"pixel":[195],"contrast":[196],"maintained":[198],"above":[199],"90%":[200],"only":[202],"6":[203],"sub-blocks":[204],"have":[205],"detail":[206],"loss.":[207],"This":[208],"indicates":[209],"proposed":[212],"effectively":[214],"tracks":[215,220],"all":[221],"nodes,":[223],"achieves":[224],"high":[225],"accuracy":[226],"produces":[231],"good":[232]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}