{"id":"https://openalex.org/W2587131897","doi":"https://doi.org/10.1109/smc.2016.7844310","title":"Multiple human skeleton recognition in RGB and depth images with graph theory, anatomic refinement of point clouds and machine learning","display_name":"Multiple human skeleton recognition in RGB and depth images with graph theory, anatomic refinement of point clouds and machine learning","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2587131897","doi":"https://doi.org/10.1109/smc.2016.7844310","mag":"2587131897"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5016060823","display_name":"Egbert Gedat","orcid":"https://orcid.org/0000-0003-4885-5633"},"institutions":[{"id":"https://openalex.org/I38517508","display_name":"Technical University of Applied Sciences Wildau","ror":"https://ror.org/00k62pe27","country_code":"DE","type":"education","lineage":["https://openalex.org/I38517508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Egbert Gedat","raw_affiliation_strings":["Telematics Research Group, Wildau Technical University of Applied Sciences, Wildau, Germany"],"affiliations":[{"raw_affiliation_string":"Telematics Research Group, Wildau Technical University of Applied Sciences, Wildau, Germany","institution_ids":["https://openalex.org/I38517508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047858851","display_name":"Pascal Fechner","orcid":"https://orcid.org/0000-0002-2768-7450"},"institutions":[{"id":"https://openalex.org/I38517508","display_name":"Technical University of Applied Sciences Wildau","ror":"https://ror.org/00k62pe27","country_code":"DE","type":"education","lineage":["https://openalex.org/I38517508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pascal Fechner","raw_affiliation_strings":["Telematics Research Group, Wildau Technical University of Applied Sciences, Wildau, Germany"],"affiliations":[{"raw_affiliation_string":"Telematics Research Group, Wildau Technical University of Applied Sciences, Wildau, Germany","institution_ids":["https://openalex.org/I38517508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041878851","display_name":"Richard Fiebelkorn","orcid":null},"institutions":[{"id":"https://openalex.org/I38517508","display_name":"Technical University of Applied Sciences Wildau","ror":"https://ror.org/00k62pe27","country_code":"DE","type":"education","lineage":["https://openalex.org/I38517508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Richard Fiebelkorn","raw_affiliation_strings":["Telematics Research Group, Wildau Technical University of Applied Sciences, Wildau, Germany"],"affiliations":[{"raw_affiliation_string":"Telematics Research Group, Wildau Technical University of Applied Sciences, Wildau, Germany","institution_ids":["https://openalex.org/I38517508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013144360","display_name":"Ralf Vandenhouten","orcid":null},"institutions":[{"id":"https://openalex.org/I38517508","display_name":"Technical University of Applied Sciences Wildau","ror":"https://ror.org/00k62pe27","country_code":"DE","type":"education","lineage":["https://openalex.org/I38517508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ralf Vandenhouten","raw_affiliation_strings":["Telematics Research Group, Wildau Technical University of Applied Sciences, Wildau, Germany"],"affiliations":[{"raw_affiliation_string":"Telematics Research Group, Wildau Technical University of Applied Sciences, Wildau, Germany","institution_ids":["https://openalex.org/I38517508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016060823"],"corresponding_institution_ids":["https://openalex.org/I38517508"],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74573313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"000627","last_page":"000631"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9919000267982483,"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":0.9807000160217285,"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/point-cloud","display_name":"Point cloud","score":0.7874863147735596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7323230504989624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6820693016052246},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.6675581932067871},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.529403805732727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.52878338098526},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5051680207252502},{"id":"https://openalex.org/keywords/human-skeleton","display_name":"Human skeleton","score":0.5027205944061279},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48357078433036804},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47516459226608276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47289860248565674},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.4707750976085663},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43475306034088135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2002798318862915},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14184269309043884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1301766037940979}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7874863147735596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323230504989624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6820693016052246},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.6675581932067871},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.529403805732727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.52878338098526},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5051680207252502},{"id":"https://openalex.org/C2777846634","wikidata":"https://www.wikidata.org/wiki/Q9621","display_name":"Human skeleton","level":2,"score":0.5027205944061279},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48357078433036804},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47516459226608276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47289860248565674},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.4707750976085663},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43475306034088135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2002798318862915},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14184269309043884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1301766037940979},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2016.7844310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1980392157","https://openalex.org/W2012748644","https://openalex.org/W2036196300","https://openalex.org/W2084106378","https://openalex.org/W2131263044","https://openalex.org/W2135826343","https://openalex.org/W2142194269","https://openalex.org/W2154434560"],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W1979723775","https://openalex.org/W2126881935","https://openalex.org/W4312993112","https://openalex.org/W3209135759","https://openalex.org/W2347221702","https://openalex.org/W2523395320","https://openalex.org/W41889997","https://openalex.org/W2784535632","https://openalex.org/W2348425426"],"abstract_inverted_index":{"Computer":[0],"visual":[1],"recognition":[2],"of":[3,13,30,46,70,80,146],"multiple":[4],"human":[5,117,156],"poses":[6],"infers":[7],"technological":[8],"benefit":[9],"in":[10,106,132,184],"a":[11],"variety":[12],"systems,":[14],"including":[15],"security":[16],"surveillance,":[17],"medical":[18],"therapeutics,":[19],"sports":[20],"analytics":[21],"and":[22,72,114,171],"many":[23],"more.":[24],"For":[25,129,153],"this":[26],"goal":[27],"the":[28,44,47,56,75,95],"set":[29],"detected":[31,166],"body":[32,57,181],"parts":[33],"on":[34],"color":[35],"or":[36],"depth":[37,118],"images":[38,119,134,157],"must":[39],"be":[40],"aligned":[41,143],"to":[42,65,93,101,108,115,125,179],"reconstruct":[43],"skeletons":[45,140,163],"humans.":[48],"Here,":[49],"an":[50],"algorithm":[51,92],"is":[52,175],"introduced":[53],"that":[54,73],"models":[55],"part":[58,182],"point":[59,112],"clouds":[60],"using":[61,87,144],"principal":[62],"component":[63],"analysis":[64],"obtain":[66],"anatomically":[67],"correct":[68],"positions":[69],"joints,":[71],"assembles":[74],"redundant":[76],"and/or":[77],"incomplete":[78],"number":[79],"candidate":[81],"joints":[82,148],"with":[83,121,149,167,177],"graph":[84],"theoretical":[85],"methods":[86],"Suurballe's":[88],"k-shortest":[89],"disjoint":[90],"paths":[91],"build":[94],"skeletons.":[96],"The":[97],"computations":[98],"were":[99,141,164],"applied":[100],"MOCAP":[102,130],"database":[103],"motions":[104],"rendered":[105],"Blender":[107],"produce":[109],"idealized":[110],"classified":[111,120],"clouds,":[113],"real":[116,155,185],"decision":[122],"forests":[123],"similar":[124],"Shotton":[126],"et":[127],"al.":[128],"data,":[131],"68":[133],"showing":[135,159],"3":[136,160],"persons":[137],"all":[138],"204":[139],"correctly":[142,165],"4.285":[145],"4.682":[147],"no":[150],"false":[151,169],"assignment.":[152],"33":[154],"each":[158],"people,":[161],"71":[162],"1":[168],"detection":[170],"17":[172],"misses,":[173],"which":[174],"promising":[176],"respect":[178],"non-perfect":[180],"classification":[183],"world.":[186]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
