{"id":"https://openalex.org/W3200365636","doi":"https://doi.org/10.1109/hsi52170.2021.9538758","title":"Human 3D Pose Estimation Based on Inception Architecture","display_name":"Human 3D Pose Estimation Based on Inception Architecture","publication_year":2021,"publication_date":"2021-07-08","ids":{"openalex":"https://openalex.org/W3200365636","doi":"https://doi.org/10.1109/hsi52170.2021.9538758","mag":"3200365636"},"language":"en","primary_location":{"id":"doi:10.1109/hsi52170.2021.9538758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi52170.2021.9538758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Conference on Human System Interaction (HSI)","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/A5075222783","display_name":"Michal Kielczykowski","orcid":null},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Michal Kielczykowski","raw_affiliation_strings":["Warsaw University of Technology,Faculty of Electrical Engineering,Warsaw,Polan","Faculty of Electrical Engineering, Warsaw University of Technology, Warsaw, Polan"],"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology,Faculty of Electrical Engineering,Warsaw,Polan","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Faculty of Electrical Engineering, Warsaw University of Technology, Warsaw, Polan","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034317121","display_name":"Grzegorz Sarwas","orcid":"https://orcid.org/0000-0003-4113-2387"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Grzegorz Sarwas","raw_affiliation_strings":["Warsaw University of Technology,Institute of Control and Industrial Electronics,Warsaw,Poland","Institute of Control and Industrial Electronics, Warsaw University of Technology, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology,Institute of Control and Industrial Electronics,Warsaw,Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Institute of Control and Industrial Electronics, Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075222783"],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11544118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.998199999332428,"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":0.998199999332428,"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":0.9936000108718872,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126412987709045},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6470752954483032},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6411764621734619},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5244505405426025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44959935545921326},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34652143716812134},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15765133500099182},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10100939869880676},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.076151043176651}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126412987709045},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6470752954483032},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6411764621734619},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5244505405426025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44959935545921326},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34652143716812134},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15765133500099182},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10100939869880676},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.076151043176651},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hsi52170.2021.9538758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi52170.2021.9538758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Conference on Human System Interaction (HSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2097117768","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2404595106","https://openalex.org/W2554247908","https://openalex.org/W2583372902","https://openalex.org/W2788865504","https://openalex.org/W2792747672","https://openalex.org/W2798411580","https://openalex.org/W2888934629","https://openalex.org/W2916149688","https://openalex.org/W2962896489","https://openalex.org/W2963383668","https://openalex.org/W2964350391","https://openalex.org/W2998273692","https://openalex.org/W3023681781","https://openalex.org/W3035129432","https://openalex.org/W3035278762","https://openalex.org/W3096338035","https://openalex.org/W3106126861","https://openalex.org/W6694260854","https://openalex.org/W6760003306"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Researchers":[0],"provide":[1],"us":[2],"with":[3],"newer":[4],"and":[5,42,45,95,105,110],"deeper":[6],"structures":[7,28],"of":[8,19,56,63,77,103,123,127,137],"neural":[9],"networks":[10,107],"every":[11],"year,":[12],"confirming":[13],"their":[14,20,64],"effectiveness":[15],"concerning":[16],"earlier":[17],"versions":[18],"architectures.":[21],"A":[22],"common":[23],"assumption":[24],"in":[25,66,108,112,130],"creating":[26],"current":[27],"is":[29],"to":[30,69],"ignore":[31],"performance":[32],"issues.":[33],"On":[34,48],"the":[35,49,53,61,81,101,113,125,138,148],"one":[36,136],"hand,":[37,51],"we":[38,59,85],"theoretically":[39],"obtain":[40],"better":[41,43],"classification":[44],"regression":[46,114],"methods.":[47],"other":[50],"despite":[52],"significant":[54],"development":[55],"mobile":[57,73],"devices,":[58],"lose":[60],"possibility":[62],"implementation":[65],"systems":[67],"accessible":[68],"humans,":[70],"such":[71],"as":[72,121],"phones.":[74],"Being":[75],"aware":[76],"social":[78],"expectations":[79],"towards":[80],"technologies":[82],"being":[83],"developed,":[84],"should":[86],"create":[87],"algorithms":[88],"that":[89],"improve":[90],"our":[91],"previous":[92],"versions\u2019":[93],"operation":[94,102],"optimize":[96],"performance.":[97],"The":[98,116,133],"study":[99],"compares":[100],"Inception-V3":[104],"V4":[106],"precision":[109],"speed":[111],"process.":[115],"estimation":[117,143],"ability":[118],"was":[119,145],"determined":[120],"part":[122],"studying":[124],"position":[126],"human":[128,141],"joints":[129],"3D":[131,140],"space.":[132],"LoCO":[134],"architecture,":[135],"leading":[139],"pose":[142],"methods,":[144],"used":[146],"for":[147],"experiments.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
