{"id":"https://openalex.org/W3118348102","doi":"https://doi.org/10.1109/lars/sbr/wre51543.2020.9307079","title":"Estimating Human Body Orientation using Skeletons and Extreme Gradient Boosting","display_name":"Estimating Human Body Orientation using Skeletons and Extreme Gradient Boosting","publication_year":2020,"publication_date":"2020-11-09","ids":{"openalex":"https://openalex.org/W3118348102","doi":"https://doi.org/10.1109/lars/sbr/wre51543.2020.9307079","mag":"3118348102"},"language":"en","primary_location":{"id":"doi:10.1109/lars/sbr/wre51543.2020.9307079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre51543.2020.9307079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on Robotics (SBR) and 2020 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5035277936","display_name":"Pedro Victor Vieira de Paiva","orcid":"https://orcid.org/0000-0002-3743-1985"},"institutions":[{"id":"https://openalex.org/I4210142333","display_name":"Centro de Tecnologia da Informa\u00e7\u00e3o Renato Archer","ror":"https://ror.org/044nfga98","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142333","https://openalex.org/I4210151455"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro Victor Vieira de Paiva","raw_affiliation_strings":["Robotics and Computer Vision Lab, Renato Archer IT Center,Campinas,Brazil","Robotics and Computer Vision Lab, Renato Archer IT Center, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics and Computer Vision Lab, Renato Archer IT Center,Campinas,Brazil","institution_ids":["https://openalex.org/I4210142333"]},{"raw_affiliation_string":"Robotics and Computer Vision Lab, Renato Archer IT Center, Campinas, Brazil","institution_ids":["https://openalex.org/I4210142333"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052539387","display_name":"Murillo Rehder Batista","orcid":"https://orcid.org/0000-0002-3445-2174"},"institutions":[{"id":"https://openalex.org/I4210142333","display_name":"Centro de Tecnologia da Informa\u00e7\u00e3o Renato Archer","ror":"https://ror.org/044nfga98","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142333","https://openalex.org/I4210151455"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Murillo Rehder Batista","raw_affiliation_strings":["Robotics and Computer Vision Lab, Renato Archer IT Center,Campinas,Brazil","Robotics and Computer Vision Lab, Renato Archer IT Center, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics and Computer Vision Lab, Renato Archer IT Center,Campinas,Brazil","institution_ids":["https://openalex.org/I4210142333"]},{"raw_affiliation_string":"Robotics and Computer Vision Lab, Renato Archer IT Center, Campinas, Brazil","institution_ids":["https://openalex.org/I4210142333"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070197816","display_name":"Josu\u00e9 J. G. Ramos","orcid":"https://orcid.org/0000-0002-5815-2424"},"institutions":[{"id":"https://openalex.org/I4210142333","display_name":"Centro de Tecnologia da Informa\u00e7\u00e3o Renato Archer","ror":"https://ror.org/044nfga98","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142333","https://openalex.org/I4210151455"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Josue Junior Guimar\u00e3es Ramos","raw_affiliation_strings":["Robotics and Computer Vision Lab, Renato Archer IT Center,Campinas,Brazil","Robotics and Computer Vision Lab, Renato Archer IT Center, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics and Computer Vision Lab, Renato Archer IT Center,Campinas,Brazil","institution_ids":["https://openalex.org/I4210142333"]},{"raw_affiliation_string":"Robotics and Computer Vision Lab, Renato Archer IT Center, Campinas, Brazil","institution_ids":["https://openalex.org/I4210142333"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210142333"],"apc_list":null,"apc_paid":null,"fwci":0.4272,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70016068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9988999962806702,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8155657052993774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7330737113952637},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.717714786529541},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7128094434738159},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.7109053134918213},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5864723920822144},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5851029753684998},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4559425115585327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4507645070552826},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.14025366306304932},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1357152760028839}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8155657052993774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7330737113952637},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.717714786529541},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7128094434738159},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.7109053134918213},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5864723920822144},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5851029753684998},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4559425115585327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4507645070552826},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.14025366306304932},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1357152760028839},{"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/lars/sbr/wre51543.2020.9307079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre51543.2020.9307079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on Robotics (SBR) and 2020 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8299999833106995,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7604631320","display_name":null,"funder_award_id":"301653/2020-8,301646/2020-1","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1517583229","https://openalex.org/W1997500560","https://openalex.org/W2061152573","https://openalex.org/W2108560551","https://openalex.org/W2139783272","https://openalex.org/W2146761391","https://openalex.org/W2147618390","https://openalex.org/W2222512263","https://openalex.org/W2295598076","https://openalex.org/W2554202403","https://openalex.org/W2574456466","https://openalex.org/W2962730651","https://openalex.org/W2965165110","https://openalex.org/W2981089360","https://openalex.org/W3003772167","https://openalex.org/W3004200304","https://openalex.org/W3091978019","https://openalex.org/W3102476541","https://openalex.org/W3119059448"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326"],"abstract_inverted_index":{"Human":[0],"body":[1,140],"orientation":[2,28,40,141],"is":[3,24,32,113,137],"a":[4,43,90,105],"valuable":[5],"information":[6,59],"for":[7,27,35,139],"social":[8,15],"robots":[9],"due":[10],"to":[11,65,88],"its":[12,79],"use":[13],"in":[14],"path":[16],"planning":[17],"and":[18,77,81,124],"person":[19],"(or":[20],"group)":[21],"approaching.":[22],"Multi-sensory":[23],"an":[25],"alternative":[26],"estimation":[29,142],"but":[30],"it":[31],"not":[33],"available":[34],"in-the-wild":[36],"applications.":[37],"To":[38,97],"estimate":[39],"using":[41,72],"only":[42],"single":[44,106],"image,":[45],"several":[46],"computer":[47],"vision":[48],"techniques":[49],"have":[50],"demonstrated":[51],"insufficient":[52],"accuracy.":[53],"We":[54,68,115],"propose":[55],"combining":[56],"2D":[57],"skeleton":[58,71],"with":[60],"extreme":[61],"gradient":[62,91],"boosting":[63,92],"algorithm":[64],"detect":[66],"orientation.":[67],"obtain":[69],"person's":[70],"the":[73,108,117],"OpenPose":[74],"deep":[75],"architecture,":[76],"extract":[78],"distances":[80],"angle":[82],"features.":[83],"These":[84],"attributes":[85],"are":[86],"used":[87],"train":[89],"learning":[93],"system":[94],"by":[95,146],"XGBoost.":[96],"evaluate":[98],"predictions":[99],"considering":[100],"real":[101],"situations":[102],"based":[103],"on":[104,143,150],"camera,":[107],"TUD":[109],"Multiview":[110],"Pedestrian":[111],"dataset":[112],"used.":[114],"compared":[116],"proposed":[118],"approach":[119],"against":[120],"various":[121],"state-of-the-art":[122],"methods":[123],"our":[125,135],"results":[126],"indicate":[127],"better":[128],"classification":[129],"performance.":[130],"Furthermore,":[131],"we":[132],"prove":[133],"that":[134],"method":[136],"viable":[138],"real-life":[144],"scenarios":[145],"presenting":[147],"case":[148],"studies":[149],"simulated":[151],"scenes.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
