{"id":"https://openalex.org/W4381734675","doi":"https://doi.org/10.1109/cscwd57460.2023.10152566","title":"A Human Pose Similarity Calculation Method Based on Partition Weighted OKS Model","display_name":"A Human Pose Similarity Calculation Method Based on Partition Weighted OKS Model","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4381734675","doi":"https://doi.org/10.1109/cscwd57460.2023.10152566"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd57460.2023.10152566","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5101510037","display_name":"Weihong Yang","orcid":"https://orcid.org/0000-0002-2943-9485"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weihong Yang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Nanjing,China,210023"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Nanjing,China,210023","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081467995","display_name":"Hua Dai","orcid":"https://orcid.org/0000-0003-2465-8977"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Dai","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Nanjing,China,210023"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Nanjing,China,210023","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017383334","display_name":"Haozhe Wu","orcid":"https://orcid.org/0000-0002-3036-6930"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haozhe Wu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Nanjing,China,210023"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Nanjing,China,210023","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101848201","display_name":"Geng Yang","orcid":"https://orcid.org/0000-0001-7740-2401"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng Yang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Nanjing,China,210023"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Nanjing,China,210023","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009289976","display_name":"Lu Meng","orcid":"https://orcid.org/0000-0001-9791-7138"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng Lu","raw_affiliation_strings":["COSMO Industrial Intelligence Research Institute (Qingdao) Co, Ltd,Qingdao,China,266520"],"affiliations":[{"raw_affiliation_string":"COSMO Industrial Intelligence Research Institute (Qingdao) Co, Ltd,Qingdao,China,266520","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038414975","display_name":"Guineng Zheng","orcid":"https://orcid.org/0000-0002-4356-5840"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guineng Zheng","raw_affiliation_strings":["University of Utah,Salt Lake City,America,84112"],"affiliations":[{"raw_affiliation_string":"University of Utah,Salt Lake City,America,84112","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101510037"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05893191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1760","last_page":"1765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9599999785423279,"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":0.9599999785423279,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9495000243186951,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9314000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7853211164474487},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.7239722013473511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6221203804016113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5716054439544678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5559379458427429},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5128579139709473},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.49924468994140625},{"id":"https://openalex.org/keywords/human-skeleton","display_name":"Human skeleton","score":0.4752240777015686},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.45410168170928955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38043320178985596},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33218008279800415},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1563762128353119},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08145269751548767}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7853211164474487},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.7239722013473511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6221203804016113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5716054439544678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5559379458427429},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5128579139709473},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.49924468994140625},{"id":"https://openalex.org/C2777846634","wikidata":"https://www.wikidata.org/wiki/Q9621","display_name":"Human skeleton","level":2,"score":0.4752240777015686},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.45410168170928955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38043320178985596},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33218008279800415},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1563762128353119},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08145269751548767},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd57460.2023.10152566","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W1979723775","https://openalex.org/W2126881935","https://openalex.org/W4312993112","https://openalex.org/W2784535632","https://openalex.org/W2347221702","https://openalex.org/W3209135759","https://openalex.org/W2523395320","https://openalex.org/W41889997","https://openalex.org/W2348425426"],"abstract_inverted_index":{"Image-based":[0],"calculation":[1,43,63,134,159],"of":[2,8,35,38,53,75,98,101,112,121],"human":[3,19,25,60,87,103,113,131,156],"pose":[4,26,61,88,104,132,157],"similarity":[5,42,62,105,133,158],"is":[6,91,160],"one":[7],"the":[9,18,24,33,46,51,73,81,86,96,99,102,109,117,138,152,163],"computer":[10],"vision":[11],"research":[12,16],"fields.":[13],"Most":[14],"existing":[15],"uses":[17],"skeleton":[20,39,82,114],"joint":[21,40,83],"to":[22,72,95,162],"calculate":[23],"similarity,":[27],"but":[28],"usually":[29],"does":[30],"not":[31],"consider":[32],"influence":[34,74],"inaccurate":[36],"recognition":[37],"on":[41,66,137,148],"caused":[44],"by":[45,85],"complex":[47],"environment":[48],"(such":[49],"as":[50,79],"occlusion":[52],"body":[54],"parts,":[55],"etc.).":[56],"We":[57,107],"propose":[58,108],"a":[59,130],"method":[64,135,154],"based":[65,136],"partition":[67,110,122,125,139],"weighted":[68,126,140],"OKS":[69,127,141],"model.":[70],"Due":[71],"external":[76],"factors":[77],"such":[78],"occlusion,":[80],"extracted":[84],"estimation":[89],"algorithm":[90],"inaccurate,":[92],"which":[93],"leads":[94],"decrease":[97],"accuracy":[100],"calculation.":[106],"rule":[111],"joints":[115],"and":[116,129],"dynamic":[118],"strategy":[119],"adjustment":[120],"weight.":[123],"The":[124,145],"model":[128,142],"are":[143],"given.":[144],"experimental":[146],"results":[147],"datasets":[149],"show":[150],"that":[151],"proposed":[153],"for":[155],"superior":[161],"traditional":[164],"one.":[165]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
