{"id":"https://openalex.org/W2780032591","doi":"https://doi.org/10.1109/dicta.2017.8227386","title":"A Comparison between Anatomy-Based and Data-Driven Tree Models for Human Pose Estimation","display_name":"A Comparison between Anatomy-Based and Data-Driven Tree Models for Human Pose Estimation","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2780032591","doi":"https://doi.org/10.1109/dicta.2017.8227386","mag":"2780032591"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2017.8227386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5070250370","display_name":"Huynh Vu The","orcid":"https://orcid.org/0000-0002-8980-283X"},"institutions":[{"id":"https://openalex.org/I157358134","display_name":"RMIT Vietnam","ror":"https://ror.org/004axh929","country_code":"VN","type":"education","lineage":["https://openalex.org/I157358134","https://openalex.org/I82951845"]},{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU","VN"],"is_corresponding":true,"raw_author_name":"Huynh The Vu","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, Australia","School of Science and Technology, RMIT University Vietnam, Ho Chi Minh City, Vietnam"],"affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]},{"raw_affiliation_string":"School of Science and Technology, RMIT University Vietnam, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I157358134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060108418","display_name":"Richardt H. Wilkinson","orcid":"https://orcid.org/0000-0003-1318-8447"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Richardt H. Wilkinson","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065207789","display_name":"Margaret Lech","orcid":"https://orcid.org/0000-0002-7860-7289"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Margaret Lech","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014680033","display_name":"Eva Cheng","orcid":"https://orcid.org/0000-0003-1632-8062"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Eva Cheng","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070250370"],"corresponding_institution_ids":["https://openalex.org/I157358134","https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49631364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9937000274658203,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9821000099182129,"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/tree","display_name":"Tree (set theory)","score":0.7324213981628418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6885819435119629},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6190822720527649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5845870971679688},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.5506760478019714},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5475264191627502},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5349264144897461},{"id":"https://openalex.org/keywords/decision-tree-model","display_name":"Decision tree model","score":0.47061780095100403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4678210914134979},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4676700830459595},{"id":"https://openalex.org/keywords/human-anatomy","display_name":"Human anatomy","score":0.45844244956970215},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3853468894958496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36343085765838623},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.22840920090675354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17243975400924683},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16957542300224304},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.12071436643600464},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.09851840138435364},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07191061973571777}],"concepts":[{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.7324213981628418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6885819435119629},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6190822720527649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5845870971679688},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.5506760478019714},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5475264191627502},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5349264144897461},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.47061780095100403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4678210914134979},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4676700830459595},{"id":"https://openalex.org/C2985650651","wikidata":"https://www.wikidata.org/wiki/Q23852","display_name":"Human anatomy","level":2,"score":0.45844244956970215},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3853468894958496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36343085765838623},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.22840920090675354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17243975400924683},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16957542300224304},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.12071436643600464},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.09851840138435364},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07191061973571777},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2017.8227386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.61RMIT_INST:11248085610001341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/DICTA.2017.8227386","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W171061157","https://openalex.org/W602397586","https://openalex.org/W1559083155","https://openalex.org/W1595739256","https://openalex.org/W1686810756","https://openalex.org/W1816678934","https://openalex.org/W2009647132","https://openalex.org/W2013640163","https://openalex.org/W2049768550","https://openalex.org/W2057204268","https://openalex.org/W2097041931","https://openalex.org/W2097151019","https://openalex.org/W2113325037","https://openalex.org/W2124386111","https://openalex.org/W2135533529","https://openalex.org/W2150546315","https://openalex.org/W2155394491","https://openalex.org/W2161969291","https://openalex.org/W2175012183","https://openalex.org/W2307770531","https://openalex.org/W2330154883","https://openalex.org/W2382036597","https://openalex.org/W2518965973","https://openalex.org/W2963474899","https://openalex.org/W2964304707","https://openalex.org/W4300167274","https://openalex.org/W6606972578","https://openalex.org/W6629574937","https://openalex.org/W6635625136","https://openalex.org/W6682891246","https://openalex.org/W6697925102","https://openalex.org/W6726294871"],"related_works":["https://openalex.org/W2088704881","https://openalex.org/W1607176310","https://openalex.org/W4285606196","https://openalex.org/W2122799473","https://openalex.org/W2907786475","https://openalex.org/W2159581187","https://openalex.org/W2026209355","https://openalex.org/W2194946011","https://openalex.org/W2023452611","https://openalex.org/W2780032591"],"abstract_inverted_index":{"Tree":[0,17],"structures":[1,18,52],"are":[2],"commonly":[3],"used":[4,21],"to":[5,22,112],"model":[6,23,105],"relationships":[7,24],"between":[8],"body":[9,68],"parts":[10],"for":[11,47],"articulated":[12],"Human":[13],"Pose":[14,76],"Estimation":[15],"(HPE).":[16],"can":[19],"be":[20],"among":[25],"feature":[26],"maps":[27],"of":[28,66,84,87,90,95,120,128],"joints":[29,69],"in":[30,130],"a":[31],"structured":[32],"learning":[33],"framework":[34],"using":[35,55,72],"Convolutional":[36],"Neural":[37],"Networks":[38],"(CNNs).":[39],"This":[40],"paper":[41,80],"proposes":[42],"new":[43],"data-driven":[44,50,103],"tree":[45,51,104],"models":[46],"HPE.":[48,97],"The":[49,79],"were":[53],"obtained":[54,106,123],"the":[56,63,73,82,85,88,93,96,102,113,126,131],"Chow-Liu":[57],"Recursive":[58],"Grouping":[59],"(CLRG)":[60],"algorithm,":[61],"representing":[62],"joint":[64],"distribution":[65],"human":[67],"and":[70],"tested":[71],"Leeds":[74],"Sports":[75],"(LSP)":[77],"dataset.":[78],"analyzes":[81],"effect":[83],"variation":[86],"number":[89,127],"nodes":[91,129],"on":[92],"accuracy":[94,110],"Experimental":[98],"results":[99],"showed":[100],"that":[101],"1%":[107],"higher":[108],"HPE":[109],"compared":[111],"traditional":[114,132],"anatomy-based":[115,133],"model.":[116,134],"A":[117],"further":[118],"improvement":[119],"0.5%":[121],"was":[122],"by":[124],"optimizing":[125]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
