{"id":"https://openalex.org/W2344477425","doi":"https://doi.org/10.1109/tpami.2015.2502582","title":"Full-Body Pose Tracking\u2014The Top View Reprojection Approach","display_name":"Full-Body Pose Tracking\u2014The Top View Reprojection Approach","publication_year":2015,"publication_date":"2015-11-20","ids":{"openalex":"https://openalex.org/W2344477425","doi":"https://doi.org/10.1109/tpami.2015.2502582","mag":"2344477425","pmid":"https://pubmed.ncbi.nlm.nih.gov/26599616"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2015.2502582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2502582","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5046122595","display_name":"\u039c\u03ac\u03c1\u03ba\u03bf\u03c2 \u03a3\u03b9\u03b3\u03ac\u03bb\u03b1\u03c2","orcid":"https://orcid.org/0000-0001-8929-9157"},"institutions":[{"id":"https://openalex.org/I142617266","display_name":"University of Crete","ror":"https://ror.org/00dr28g20","country_code":"GR","type":"education","lineage":["https://openalex.org/I142617266"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Markos Sigalas","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) and the Department of Computer Science, University of Crete, Heraklion, Crete, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) and the Department of Computer Science, University of Crete, Heraklion, Crete, Greece","institution_ids":["https://openalex.org/I142617266","https://openalex.org/I8901234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047139078","display_name":"Maria Pateraki","orcid":"https://orcid.org/0000-0002-8943-4598"},"institutions":[{"id":"https://openalex.org/I142617266","display_name":"University of Crete","ror":"https://ror.org/00dr28g20","country_code":"GR","type":"education","lineage":["https://openalex.org/I142617266"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Maria Pateraki","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) and the Department of Computer Science, University of Crete, Heraklion, Crete, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) and the Department of Computer Science, University of Crete, Heraklion, Crete, Greece","institution_ids":["https://openalex.org/I142617266","https://openalex.org/I8901234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081369985","display_name":"Panos Trahanias","orcid":"https://orcid.org/0000-0002-3022-2574"},"institutions":[{"id":"https://openalex.org/I142617266","display_name":"University of Crete","ror":"https://ror.org/00dr28g20","country_code":"GR","type":"education","lineage":["https://openalex.org/I142617266"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panos Trahanias","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) and the Department of Computer Science, University of Crete, Heraklion, Crete, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) and the Department of Computer Science, University of Crete, Heraklion, Crete, Greece","institution_ids":["https://openalex.org/I142617266","https://openalex.org/I8901234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1338,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.89836795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"38","issue":"8","first_page":"1569","last_page":"1582"},"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":0.9976000189781189,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9973999857902527,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7775850296020508},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7403501868247986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7392998337745667},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6233338713645935},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5940099954605103},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.55885910987854},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5544174313545227},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5143178701400757},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.5029799342155457},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46209707856178284},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.45432227849960327},{"id":"https://openalex.org/keywords/visual-hull","display_name":"Visual hull","score":0.4220905005931854},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.41681867837905884},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41028156876564026},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.38083699345588684},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.26445502042770386},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.2258305549621582}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7775850296020508},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7403501868247986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7392998337745667},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6233338713645935},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5940099954605103},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.55885910987854},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5544174313545227},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5143178701400757},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.5029799342155457},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46209707856178284},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.45432227849960327},{"id":"https://openalex.org/C2776863239","wikidata":"https://www.wikidata.org/wiki/Q7936601","display_name":"Visual hull","level":3,"score":0.4220905005931854},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.41681867837905884},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41028156876564026},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.38083699345588684},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.26445502042770386},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.2258305549621582},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2015.2502582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2502582","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26599616","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26599616","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W28314717","https://openalex.org/W31861159","https://openalex.org/W32854443","https://openalex.org/W37728405","https://openalex.org/W121459416","https://openalex.org/W376620111","https://openalex.org/W1515963346","https://openalex.org/W1526177868","https://openalex.org/W1846797059","https://openalex.org/W1983363688","https://openalex.org/W2000205118","https://openalex.org/W2000588622","https://openalex.org/W2032481801","https://openalex.org/W2036196300","https://openalex.org/W2036310903","https://openalex.org/W2038883790","https://openalex.org/W2046217232","https://openalex.org/W2049381231","https://openalex.org/W2056339039","https://openalex.org/W2064772413","https://openalex.org/W2072403617","https://openalex.org/W2086509056","https://openalex.org/W2090791400","https://openalex.org/W2100428290","https://openalex.org/W2106723645","https://openalex.org/W2116442452","https://openalex.org/W2119350939","https://openalex.org/W2121557314","https://openalex.org/W2121838556","https://openalex.org/W2137804825","https://openalex.org/W2142406598","https://openalex.org/W2156094778","https://openalex.org/W2157938685","https://openalex.org/W2168849647","https://openalex.org/W2172156083","https://openalex.org/W2174722029","https://openalex.org/W2210722207","https://openalex.org/W2399752957","https://openalex.org/W4256475068","https://openalex.org/W4285719527","https://openalex.org/W6678286725","https://openalex.org/W6685299716"],"related_works":["https://openalex.org/W2946083937","https://openalex.org/W2798721181","https://openalex.org/W1968783203","https://openalex.org/W2951583186","https://openalex.org/W4299867837","https://openalex.org/W4298878995","https://openalex.org/W2148535645","https://openalex.org/W4285662725","https://openalex.org/W2088028039","https://openalex.org/W4294967731"],"abstract_inverted_index":{"Recent":[0],"introduction":[1],"of":[2,9,29,45,86,113,143,161,166,176,195],"low-cost":[3],"depth":[4,123],"cameras":[5],"triggered":[6],"a":[7,55,84,95,104,148],"number":[8,160],"interesting":[10],"works,":[11],"pushing":[12],"forward":[13],"the":[14,25,30,43,77,109,114,167,177,193],"state-of-the-art":[15],"in":[16,67,120],"human":[17,78,150],"body":[18,62,82,116],"pose":[19,63],"extraction":[20,64],"and":[21,48,65,90,129,181],"tracking.":[22],"However,":[23],"despite":[24],"remarkable":[26],"progress,":[27],"many":[28],"contemporary":[31],"methods":[32],"cope":[33],"inadequately":[34],"with":[35,122,127],"complex":[36],"scenarios,":[37],"involving":[38,158],"multiple":[39],"interacting":[40,162],"users,":[41],"under":[42],"presence":[44],"severe":[46,134],"inter-":[47],"intra-occlusions.":[49],"In":[50],"this":[51],"work,":[52],"we":[53,102,139],"present":[54],"model-based":[56],"approach":[57],"for":[58,192],"markerless":[59],"articulated":[60],"full":[61],"tracking":[66],"RGB-D":[68],"sequences.":[69],"A":[70],"cylinder-based":[71],"model":[72],"is":[73,88],"employed":[74],"to":[75],"represent":[76],"body.":[79],"For":[80,136],"each":[81,100],"part":[83],"set":[85],"hypotheses":[87],"generated":[89],"tracked":[91],"over":[92],"time":[93],"by":[94],"Particle":[96],"Filter.":[97],"To":[98],"evaluate":[99],"hypothesis,":[101],"employ":[103],"novel":[105],"metric":[106],"that":[107,175],"considers":[108],"reprojected":[110],"Top":[111],"View":[112],"corresponding":[115],"part.":[117],"The":[118,164,188],"latter,":[119],"conjunction":[121],"information,":[124],"effectively":[125],"copes":[126],"difficult":[128],"ambiguous":[130],"cases,":[131],"such":[132],"as":[133,153,155],"occlusions.":[135],"evaluation":[137],"purposes,":[138],"conducted":[140],"several":[141],"series":[142],"experiments":[144],"using":[145,184],"data":[146,157],"from":[147],"public":[149],"action":[151],"database,":[152],"well":[154],"own-collected":[156],"varying":[159],"users.":[163],"performance":[165],"proposed":[168],"method":[169],"has":[170],"been":[171],"further":[172],"compared":[173],"against":[174],"Microsoft's":[178],"Kinect":[179],"SDK":[180],"NiTE":[182],"(TM)":[183],"ground":[185],"truth":[186],"information.":[187],"results":[189],"obtained":[190],"attest":[191],"effectiveness":[194],"our":[196],"approach.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}