{"id":"https://openalex.org/W4392823886","doi":"https://doi.org/10.1145/3638584.3638641","title":"Single-Camera 3D Human Pose Estimation: Addressing Occlusion Challenges and Predictive Quality Assessment","display_name":"Single-Camera 3D Human Pose Estimation: Addressing Occlusion Challenges and Predictive Quality Assessment","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4392823886","doi":"https://doi.org/10.1145/3638584.3638641"},"language":"en","primary_location":{"id":"doi:10.1145/3638584.3638641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","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/A5035393617","display_name":"S. Jitesh Kumar","orcid":"https://orcid.org/0009-0001-2056-3762"},"institutions":[{"id":"https://openalex.org/I36909309","display_name":"National Institute of Technology Hamirpur","ror":"https://ror.org/01nc8zs04","country_code":"IN","type":"education","lineage":["https://openalex.org/I36909309","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Simran Kumar","raw_affiliation_strings":["Mathematics and Scientific Computing, National Institute of Technology, Hamirpur, India"],"raw_orcid":"https://orcid.org/0009-0001-2056-3762","affiliations":[{"raw_affiliation_string":"Mathematics and Scientific Computing, National Institute of Technology, Hamirpur, India","institution_ids":["https://openalex.org/I36909309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016584538","display_name":"Isha Sahni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Isha Sahni","raw_affiliation_strings":["Ibm, India"],"raw_orcid":"https://orcid.org/0009-0004-3340-4455","affiliations":[{"raw_affiliation_string":"Ibm, India","institution_ids":["https://openalex.org/I4210103279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092784681","display_name":"Srushti Jagtap","orcid":"https://orcid.org/0009-0008-3856-5927"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Srushti Jagtap","raw_affiliation_strings":["JP Morgan Chase, India"],"raw_orcid":"https://orcid.org/0009-0008-3856-5927","affiliations":[{"raw_affiliation_string":"JP Morgan Chase, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5094156155","display_name":"Manish Bhurtel","orcid":"https://orcid.org/0009-0008-3968-6755"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manish Bhurtel","raw_affiliation_strings":["British Model College, Nepal"],"raw_orcid":"https://orcid.org/0009-0008-3968-6755","affiliations":[{"raw_affiliation_string":"British Model College, Nepal","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035393617"],"corresponding_institution_ids":["https://openalex.org/I36909309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.203884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"205","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9976000189781189,"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":0.9944999814033508,"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/computer-science","display_name":"Computer science","score":0.6563820838928223},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6152120232582092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5829246640205383},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5445473790168762},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5244472622871399},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.44362232089042664},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.43501368165016174},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.41372349858283997},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12946557998657227},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.11579197645187378},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10045063495635986},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.08060494065284729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563820838928223},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6152120232582092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5829246640205383},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5445473790168762},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5244472622871399},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.44362232089042664},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.43501368165016174},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.41372349858283997},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12946557998657227},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.11579197645187378},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10045063495635986},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.08060494065284729},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638584.3638641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1676314349","https://openalex.org/W2194775991","https://openalex.org/W3116974125","https://openalex.org/W3175199633","https://openalex.org/W6758998429"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2894986065","https://openalex.org/W4387967917","https://openalex.org/W4287600488","https://openalex.org/W4386925306","https://openalex.org/W4387968151","https://openalex.org/W3132124459","https://openalex.org/W1963988314","https://openalex.org/W1924500548"],"abstract_inverted_index":{"Human":[0],"Pose":[1],"Estimation,":[2],"or":[3],"HPE,":[4],"pertains":[5],"to":[6,41,100,118],"the":[7,12,20,35,47,53,80,93,104,120,142,154,171,178,198],"process":[8],"of":[9,15,19,71,82,95,122,144,156,166,173,180],"precisely":[10],"determining":[11],"spatial":[13],"coordinates":[14],"distinct":[16],"anatomical":[17],"segments":[18],"human":[21],"body":[22],"depicted":[23],"within":[24,52],"an":[25,192],"image":[26],"frame.":[27],"This":[28],"challenge":[29],"has":[30],"garnered":[31],"significant":[32],"attention":[33],"over":[34,187],"last":[36],"decade":[37],"and":[38,69,103,126,200],"is":[39,112,168,194],"poised":[40],"remain":[42],"a":[43,86,116,163],"focal":[44],"point":[45],"in":[46,130,153,203],"future.":[48],"Beyond":[49],"its":[50],"significance":[51],"scientific":[54],"community,":[55],"this":[56,101,204],"field":[57],"holds":[58],"practical":[59],"implications":[60],"for":[61,124,146],"applications":[62],"such":[63],"as":[64,141],"augmented":[65],"reality,":[66],"military":[67],"operations,":[68],"surveillance":[70],"densely":[72],"populated":[73],"areas.":[74],"The":[75,90],"present":[76],"study":[77],"concentrates":[78],"on":[79,114],"intricacies":[81],"3D":[83],"HPE":[84],"using":[85],"single":[87],"2D":[88],"camera.":[89],"exploration":[91],"encompasses":[92],"accessibility":[94],"data,":[96],"prevailing":[97],"metrics":[98],"pertinent":[99],"endeavour,":[102],"complications":[105],"introduced":[106],"by":[107,133],"occlusion.":[108],"A":[109],"specific":[110],"focus":[111],"placed":[113],"introducing":[115],"methodology":[117],"evaluate":[119],"accuracy":[121,143],"predictions":[123,145],"visible":[125,147],"occluded":[127,174],"key":[128,148,160,175],"points":[129,149,176],"scenes":[131],"characterized":[132],"corresponding":[134],"visibility":[135],"conditions.":[136],"Promising":[137],"outcomes":[138],"are":[139],"obtained,":[140],"remains":[150],"consistent":[151],"even":[152],"presence":[155],"occlusion":[157],"affecting":[158],"other":[159],"points.":[161],"Furthermore,":[162],"prospective":[164],"avenue":[165],"research":[167,205],"proposed,":[169],"involving":[170],"identification":[172],"through":[177],"analysis":[179,193],"high-frequency":[181],"noise":[182],"incorporated":[183],"into":[184],"joint":[185],"positions":[186],"temporal":[188],"intervals.":[189],"To":[190],"conclude,":[191],"provided":[195],"concerning":[196],"both":[197],"challenges":[199],"opportunities":[201],"inherent":[202],"endeavour.":[206]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
