{"id":"https://openalex.org/W2969125763","doi":"https://doi.org/10.1109/icra.2019.8793712","title":"Fast and Robust 3D Person Detector and Posture Estimator for Mobile Robotic Applications","display_name":"Fast and Robust 3D Person Detector and Posture Estimator for Mobile Robotic Applications","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2969125763","doi":"https://doi.org/10.1109/icra.2019.8793712","mag":"2969125763"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2019.8793712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8793712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","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/A5079049282","display_name":"Benjamin Lewandowski","orcid":null},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Benjamin Lewandowski","raw_affiliation_strings":["Neuroinformatics and Cognitive Robotics Lab, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroinformatics and Cognitive Robotics Lab, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032070562","display_name":"Jonathan Liebner","orcid":"https://orcid.org/0000-0002-0266-4148"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jonathan Liebner","raw_affiliation_strings":["Neuroinformatics and Cognitive Robotics Lab, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroinformatics and Cognitive Robotics Lab, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036688169","display_name":"Tim Wengefeld","orcid":null},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tim Wengefeld","raw_affiliation_strings":["Neuroinformatics and Cognitive Robotics Lab, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroinformatics and Cognitive Robotics Lab, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101950412","display_name":"Steffen M\u00fcller","orcid":"https://orcid.org/0000-0002-7831-7695"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steffen Muller","raw_affiliation_strings":["Neuroinformatics and Cognitive Robotics Lab, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroinformatics and Cognitive Robotics Lab, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075114390","display_name":"Horst\u2013Michael Gro\u00df","orcid":"https://orcid.org/0000-0001-9712-0225"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Horst-Michael Gross","raw_affiliation_strings":["Neuroinformatics and Cognitive Robotics Lab, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroinformatics and Cognitive Robotics Lab, Technische Universit\u00e4t Ilmenau, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079049282"],"corresponding_institution_ids":["https://openalex.org/I119449181"],"apc_list":null,"apc_paid":null,"fwci":1.7208,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.87986583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4869","last_page":"4875"},"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":0.9994999766349792,"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":0.9980999827384949,"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":0.7772661447525024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6985969543457031},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6331599950790405},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6043792963027954},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5943892002105713},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5335230231285095},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5313931703567505},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5191775560379028},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5102541446685791},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4949261546134949},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43106770515441895},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4193476736545563},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3864414095878601},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.2144978642463684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7772661447525024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6985969543457031},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6331599950790405},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6043792963027954},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5943892002105713},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5335230231285095},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5313931703567505},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5191775560379028},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5102541446685791},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4949261546134949},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43106770515441895},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4193476736545563},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3864414095878601},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2144978642463684},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2019.8793712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8793712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W117272253","https://openalex.org/W1508404128","https://openalex.org/W1536864910","https://openalex.org/W1560724230","https://openalex.org/W1574719918","https://openalex.org/W1988790447","https://openalex.org/W2031454541","https://openalex.org/W2033574012","https://openalex.org/W2044339004","https://openalex.org/W2072297742","https://openalex.org/W2077513643","https://openalex.org/W2099570340","https://openalex.org/W2110750157","https://openalex.org/W2160643963","https://openalex.org/W2160821342","https://openalex.org/W2161969291","https://openalex.org/W2168195382","https://openalex.org/W2168356304","https://openalex.org/W2207136187","https://openalex.org/W2211722331","https://openalex.org/W2216954285","https://openalex.org/W2295947307","https://openalex.org/W2526389988","https://openalex.org/W2549143551","https://openalex.org/W2555254696","https://openalex.org/W2559085405","https://openalex.org/W2630837129","https://openalex.org/W2775077491","https://openalex.org/W3023742835","https://openalex.org/W3195149063","https://openalex.org/W6632131871","https://openalex.org/W6683411478","https://openalex.org/W6739696289"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W1508899372","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W3034529322","https://openalex.org/W2000775715","https://openalex.org/W2012658348","https://openalex.org/W2039460805","https://openalex.org/W4250956039","https://openalex.org/W2115913271"],"abstract_inverted_index":{"Due":[0],"to":[1,9,109,119,157,178],"recent":[2],"deep":[3],"learning":[4],"techniques,":[5],"person":[6,126,162],"detection":[7,141,152],"seems":[8],"be":[10],"solved":[11],"in":[12,23,43,48,77,88,115,117,175,206],"the":[13,52,59,71,84,149,188],"computer":[14],"vision":[15],"domain,":[16],"however,":[17],"it":[18,106],"is":[19,64,107],"still":[20],"an":[21,44],"issue":[22],"mobile":[24,165],"robotics.":[25],"On":[26],"a":[27,62,103,121,131,159],"robot":[28],"only":[29,75],"limited":[30],"computing":[31],"capacities":[32],"are":[33,94],"available.":[34],"The":[35,192],"challenge":[36],"gets":[37],"even":[38,195],"more":[39],"difficult":[40],"when":[41],"operating":[42],"environment,":[45,105],"with":[46],"people":[47,93,111],"poses":[49],"different":[50,146],"from":[51,130,148],"standard":[53],"upright":[54],"ones.":[55],"In":[56,101],"this":[57,144],"work":[58],"environment":[60],"of":[61,90,182,200,208],"supermarket":[63],"considered.":[65],"Unlike":[66],"most":[67],"scenarios":[68],"targeted":[69],"by":[70,98],"community,":[72],"persons":[73],"not":[74,137],"occur":[76],"standing":[78],"postures,":[79],"but":[80],"also":[81],"grasping":[82],"into":[83],"shelves":[85],"or":[86,135,204],"squatting":[87],"front":[89,207],"them.":[91],"Furthermore,":[92],"heavily":[95],"occluded,":[96],"e.g.":[97],"shopping":[99],"carts.":[100],"such":[102],"challenging":[104],"important":[108],"perceive":[110],"early":[112],"enough":[113],"and":[114,185],"real-time":[116,140,176],"order":[118],"enable":[120],"socially":[122],"aware":[123],"navigation.":[124],"Classical":[125],"detectors":[127],"often":[128],"suffer":[129],"high":[132],"posture":[133],"variance":[134],"do":[136],"achieve":[138],"acceptable":[139],"rates.":[142],"For":[143],"reason,":[145],"components":[147],"3D":[150,169],"object":[151],"domain":[153],"have":[154],"been":[155],"used":[156],"create":[158],"new":[160],"robust":[161],"detector":[163,193],"for":[164],"application.":[166],"Operating":[167],"on":[168],"point":[170],"clouds":[171],"allows":[172],"fast":[173],"detections":[174],"up":[177],"our":[179],"goal":[180],"distance":[181],"ten":[183],"meters":[184],"above":[186],"using":[187],"Kinect2":[189],"depth":[190],"sensor.":[191],"can":[194],"differentiate":[196],"between":[197],"typical":[198],"postures":[199],"customers":[201],"who":[202],"stand":[203],"squat":[205],"shelves.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}