{"id":"https://openalex.org/W2745587974","doi":"https://doi.org/10.1109/chase.2017.75","title":"Thermal-Depth Fusion for Occluded Body Skeletal Posture Estimation","display_name":"Thermal-Depth Fusion for Occluded Body Skeletal Posture Estimation","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2745587974","doi":"https://doi.org/10.1109/chase.2017.75","mag":"2745587974"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/chase.2017.75","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5062575382","display_name":"Shane Transue","orcid":"https://orcid.org/0000-0001-8923-1806"},"institutions":[{"id":"https://openalex.org/I921990950","display_name":"University of Colorado Denver","ror":"https://ror.org/02hh7en24","country_code":"US","type":"education","lineage":["https://openalex.org/I921990950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shane Transue","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Colorado Denver"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Colorado Denver","institution_ids":["https://openalex.org/I921990950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077347243","display_name":"Phuc Nguyen","orcid":"https://orcid.org/0000-0001-8078-4463"},"institutions":[{"id":"https://openalex.org/I921990950","display_name":"University of Colorado Denver","ror":"https://ror.org/02hh7en24","country_code":"US","type":"education","lineage":["https://openalex.org/I921990950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Phuc Nguyen","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Colorado Denver"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Colorado Denver","institution_ids":["https://openalex.org/I921990950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022767483","display_name":"Tam Vu","orcid":"https://orcid.org/0000-0003-1514-4034"},"institutions":[{"id":"https://openalex.org/I921990950","display_name":"University of Colorado Denver","ror":"https://ror.org/02hh7en24","country_code":"US","type":"education","lineage":["https://openalex.org/I921990950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tam Vu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Colorado Denver"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Colorado Denver","institution_ids":["https://openalex.org/I921990950"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005802199","display_name":"Min\u2010Hyung Choi","orcid":"https://orcid.org/0000-0002-1327-4065"},"institutions":[{"id":"https://openalex.org/I921990950","display_name":"University of Colorado Denver","ror":"https://ror.org/02hh7en24","country_code":"US","type":"education","lineage":["https://openalex.org/I921990950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min-Hyung Choi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Colorado Denver"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Colorado Denver","institution_ids":["https://openalex.org/I921990950"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.144,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.632451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"176"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Action Recognition and Pose Estimation","score":0.9991,"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 Action Recognition and Pose Estimation","score":0.9991,"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":"Gesture Recognition in Human-Computer Interaction","score":0.9932,"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/T10331","display_name":"Visual Object Tracking and Person Re-identification","score":0.9852,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.62177664},{"id":"https://openalex.org/keywords/pose-estimation","display_name":"Pose Estimation","score":0.597579},{"id":"https://openalex.org/keywords/skeleton-based-recognition","display_name":"Skeleton-Based Recognition","score":0.549661},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture Recognition","score":0.530819},{"id":"https://openalex.org/keywords/visual-tracking","display_name":"Visual Tracking","score":0.527479},{"id":"https://openalex.org/keywords/multiple-object-tracking","display_name":"Multiple Object Tracking","score":0.524893},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4960328},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.46141896}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7750275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76113605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.72765297},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.62177664},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5889374},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5688516},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4960328},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.48026586},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.46141896},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.41847643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35651207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14509004},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/chase.2017.75","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":17,"referenced_works":["https://openalex.org/W1517237545","https://openalex.org/W1997430507","https://openalex.org/W2036196300","https://openalex.org/W2042713314","https://openalex.org/W2055787765","https://openalex.org/W2060280062","https://openalex.org/W2095705004","https://openalex.org/W2156718417","https://openalex.org/W2157364958","https://openalex.org/W2157938685","https://openalex.org/W2163605009","https://openalex.org/W2481797699","https://openalex.org/W2512500824","https://openalex.org/W2525349527","https://openalex.org/W2526807362","https://openalex.org/W2547139274","https://openalex.org/W2557448395"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W4294967731","https://openalex.org/W4293226380","https://openalex.org/W3177346028","https://openalex.org/W3127959533","https://openalex.org/W2123263858","https://openalex.org/W2090985514","https://openalex.org/W2067569035","https://openalex.org/W2063823869","https://openalex.org/W2047973478"],"abstract_inverted_index":{"Reliable":[0],"occluded":[1,68,83],"skeletal":[2,65,113,119,146],"posture":[3,66,114,124],"estimation":[4,27,125],"is":[5,15,49],"a":[6,60,81],"fundamentally":[7],"challenging":[8,142],"problem":[9],"for":[10,144],"vision-based":[11],"monitoring":[12],"techniques.":[13],"This":[14],"due":[16],"to":[17,31,103],"several":[18],"imaging":[19,44,75],"related":[20],"challenges":[21],"introduced":[22],"by":[23,51,88,134],"existing":[24],"depth-based":[25],"pose":[26],"techniques":[28],"that":[29,110,140],"fail":[30],"provide":[32],"accurate":[33],"joint":[34,147],"position":[35],"estimates":[36,115],"when":[37],"the":[38,43,47],"line":[39],"of":[40,63,154],"sight":[41],"between":[42],"device":[45],"and":[46,73,79,105,121],"patient":[48],"obscured":[50],"an":[52,150],"occluding":[53],"material.":[54],"In":[55],"this":[56,94,132],"work,":[57],"we":[58,98],"present":[59,141],"new":[61,82],"method":[62,86],"estimating":[64],"in":[67,126],"applications":[69],"using":[70],"both":[71],"depth":[72],"thermal":[74,108],"through":[76],"volumetric":[77,96,107],"modeling":[78],"introduce":[80],"ground-truth":[84],"tracking":[85],"inspired":[87],"modern":[89],"motion":[90],"capture":[91],"solutions.":[92],"Using":[93],"integrated":[95],"model,":[97],"utilize":[99],"Convolutional":[100],"Neural":[101],"Networks":[102],"characterize":[104],"identify":[106],"distributions":[109],"match":[111],"trained":[112],"which":[116],"includes":[117],"disconnected":[118],"definitions":[120],"allows":[122],"correct":[123],"highly":[127],"ambiguous":[128],"cases.":[129],"We":[130],"demonstrate":[131],"approach":[133],"correctly":[135],"identifying":[136],"common":[137],"sleep":[138],"postures":[139],"cases":[143],"current":[145],"estimations,":[148],"obtaining":[149],"average":[151],"classification":[152],"accuracy":[153],"~94.45%.":[155]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2745587974","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2024-10-05T05:43:58.600367","created_date":"2017-08-31"}