{"id":"https://openalex.org/W2891330063","doi":"https://doi.org/10.1109/tip.2018.2865666","title":"Multi-Person Pose Estimation via Multi-Layer Fractal Network and Joints Kinship Pattern","display_name":"Multi-Person Pose Estimation via Multi-Layer Fractal Network and Joints Kinship Pattern","publication_year":2018,"publication_date":"2018-08-22","ids":{"openalex":"https://openalex.org/W2891330063","doi":"https://doi.org/10.1109/tip.2018.2865666","mag":"2891330063","pmid":"https://pubmed.ncbi.nlm.nih.gov/30136939"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2865666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2865666","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5091302785","display_name":"Yanmin Luo","orcid":"https://orcid.org/0000-0001-7596-3299"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanmin Luo","raw_affiliation_strings":["Huaqiao University, Quanzhou, Fujian, CN"],"affiliations":[{"raw_affiliation_string":"Huaqiao University, Quanzhou, Fujian, CN","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024253955","display_name":"Zhitong Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitong Xu","raw_affiliation_strings":["Huaqiao University, Quanzhou, Fujian, CN"],"affiliations":[{"raw_affiliation_string":"Huaqiao University, Quanzhou, Fujian, CN","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101666937","display_name":"Peizhong Liu","orcid":"https://orcid.org/0000-0003-2619-1629"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peizhong Liu","raw_affiliation_strings":["Huaqiao University, Quanzhou, Fujian, CN"],"affiliations":[{"raw_affiliation_string":"Huaqiao University, Quanzhou, Fujian, CN","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056542640","display_name":"Yongzhao Du","orcid":"https://orcid.org/0000-0003-4261-9648"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongzhao Du","raw_affiliation_strings":["Huaqiao University, Quanzhou, Fujian, CN"],"affiliations":[{"raw_affiliation_string":"Huaqiao University, Quanzhou, Fujian, CN","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089868194","display_name":"Jing-Ming Guo","orcid":"https://orcid.org/0000-0002-8041-6326"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jing-Ming Guo","raw_affiliation_strings":["National Taiwan University of Science and Technology, Taipei, TW"],"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology, Taipei, TW","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091302785"],"corresponding_institution_ids":["https://openalex.org/I119045251"],"apc_list":null,"apc_paid":null,"fwci":1.3827,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.8630056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"1","first_page":"142","last_page":"155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973000288009644,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/matching","display_name":"Matching (statistics)","score":0.6457353830337524},{"id":"https://openalex.org/keywords/kinship","display_name":"Kinship","score":0.6316566467285156},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6297686100006104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6172344088554382},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6171021461486816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5993838906288147},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5807514786720276},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5626947283744812},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47966742515563965},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4529692828655243},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32220977544784546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29233938455581665},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1058310866355896}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6457353830337524},{"id":"https://openalex.org/C144348335","wikidata":"https://www.wikidata.org/wiki/Q171318","display_name":"Kinship","level":2,"score":0.6316566467285156},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6297686100006104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172344088554382},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6171021461486816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5993838906288147},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5807514786720276},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5626947283744812},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47966742515563965},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4529692828655243},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32220977544784546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29233938455581665},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1058310866355896},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2018.2865666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2865666","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:30136939","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30136939","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1728215560","display_name":null,"funder_award_id":"61605048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2247681775","display_name":null,"funder_award_id":"2015Z120","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G3334834468","display_name":null,"funder_award_id":"14BS215","funder_id":"https://openalex.org/F4320322182","funder_display_name":"Huaqiao University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320322182","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W187717959","https://openalex.org/W639708223","https://openalex.org/W753012316","https://openalex.org/W1537698211","https://openalex.org/W1585462596","https://openalex.org/W1686810756","https://openalex.org/W1816678934","https://openalex.org/W1849277567","https://openalex.org/W1857884451","https://openalex.org/W1861492603","https://openalex.org/W1936750108","https://openalex.org/W1948369226","https://openalex.org/W1965042405","https://openalex.org/W2013640163","https://openalex.org/W2057204268","https://openalex.org/W2073246097","https://openalex.org/W2080873731","https://openalex.org/W2105047140","https://openalex.org/W2113325037","https://openalex.org/W2121969814","https://openalex.org/W2125936497","https://openalex.org/W2136391815","https://openalex.org/W2139857301","https://openalex.org/W2144506857","https://openalex.org/W2155394491","https://openalex.org/W2169956274","https://openalex.org/W2175012183","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2342611082","https://openalex.org/W2382036597","https://openalex.org/W2408279554","https://openalex.org/W2509865052","https://openalex.org/W2518965973","https://openalex.org/W2528426827","https://openalex.org/W2559085405","https://openalex.org/W2560676089","https://openalex.org/W2567804583","https://openalex.org/W2578797046","https://openalex.org/W2724213014","https://openalex.org/W2952819818","https://openalex.org/W2963150697","https://openalex.org/W2963448913","https://openalex.org/W2963781481","https://openalex.org/W2964105113","https://openalex.org/W2964304707","https://openalex.org/W6622239757","https://openalex.org/W6634775616","https://openalex.org/W6639102338","https://openalex.org/W6639204139","https://openalex.org/W6640494244","https://openalex.org/W6640740087","https://openalex.org/W6664807449","https://openalex.org/W6668651680","https://openalex.org/W6670699758","https://openalex.org/W6676698716","https://openalex.org/W6678509853","https://openalex.org/W6680285999","https://openalex.org/W6681065111","https://openalex.org/W6682891246","https://openalex.org/W6684692902","https://openalex.org/W6685547594","https://openalex.org/W6687483927","https://openalex.org/W6704100360","https://openalex.org/W6707250398","https://openalex.org/W6709775842","https://openalex.org/W6725514049","https://openalex.org/W6726294871"],"related_works":["https://openalex.org/W1579373186","https://openalex.org/W4312685612","https://openalex.org/W4317827232","https://openalex.org/W2890085216","https://openalex.org/W2046291598","https://openalex.org/W2504703202","https://openalex.org/W4252628068","https://openalex.org/W1708418756","https://openalex.org/W2976679446","https://openalex.org/W2414520379"],"abstract_inverted_index":{"We":[0,108],"propose":[1],"an":[2,33],"effective":[3],"method":[4],"to":[5,22,31,52,67,94,101,123],"boost":[6],"the":[7,16,60,69,82,88,103,110,131,135],"accuracy":[8],"of":[9,71],"multi-person":[10,24,149],"pose":[11],"estimation":[12],"in":[13,145],"images.":[14],"Initially,":[15],"three-layer":[17],"fractal":[18],"network":[19],"was":[20,65],"constructed":[21],"regress":[23],"joints":[25,42,56,86,96,106,112,120],"location":[26],"heatmap":[27,49],"that":[28,130],"can":[29],"help":[30],"enhance":[32],"image":[34],"region":[35],"with":[36,87],"receptive":[37],"field":[38],"and":[39,79,138,142,151],"capture":[40],"more":[41],"local-contextual":[43],"feature":[44],"information,":[45],"thereby":[46],"producing":[47],"keypoints":[48,154],"intermediate":[50],"prediction":[51],"optimize":[53],"human":[54],"body":[55],"regression":[57],"results.":[58],"Subsequently,":[59],"hierarchical":[61],"bi-directional":[62],"inference":[63],"algorithm":[64],"proposed":[66,132],"calculate":[68],"degree":[70],"relatedness":[72],"(call":[73],"it":[74,80],"Kinship)":[75],"for":[76],"adjacent":[77,85],"joints,":[78],"combines":[81],"Kinship":[83],"between":[84],"spatial":[89],"constraints,":[90],"which":[91],"we":[92],"refer":[93],"as":[95],"kinship":[97],"pattern":[98],"matching":[99,113],"mechanism,":[100],"determine":[102],"best":[104],"matched":[105],"pair.":[107],"iterate":[109],"above-mentioned":[111],"process":[114],"layer":[115,117],"by":[116],"until":[118],"all":[119],"are":[121],"assigned":[122],"a":[124],"corresponding":[125],"individual.":[126],"Comprehensive":[127],"experiments":[128],"demonstrate":[129],"approach":[133],"outperforms":[134],"state-of-the-art":[136],"schemes":[137],"achieves":[139],"about":[140],"1%":[141],"0.6%":[143],"increase":[144],"mAP":[146],"on":[147],"MPII":[148],"subset":[150],"MSCOCO":[152],"2016":[153],"challenge.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
