{"id":"https://openalex.org/W2001881450","doi":"https://doi.org/10.1109/icra.2014.6907518","title":"3D reconstruction of freely moving persons for re-identification with a depth sensor","display_name":"3D reconstruction of freely moving persons for re-identification with a depth sensor","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2001881450","doi":"https://doi.org/10.1109/icra.2014.6907518","mag":"2001881450"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2014.6907518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2014.6907518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Automation (ICRA)","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/A5006014584","display_name":"Matteo Munaro","orcid":"https://orcid.org/0000-0002-3544-1039"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Munaro","raw_affiliation_strings":["Intelligent Autonomous Systems Laboratory (IAS-Lab), University of Padua, Padua, IT","Intelligent Autonomous Systems Laboratory (IAS-Lab) at the University of Padua, Padua, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Autonomous Systems Laboratory (IAS-Lab), University of Padua, Padua, IT","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Intelligent Autonomous Systems Laboratory (IAS-Lab) at the University of Padua, Padua, IT","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019038525","display_name":"Alberto Basso","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Basso","raw_affiliation_strings":["Intelligent Autonomous Systems Laboratory (IAS-Lab), University of Padua, Padua, IT","Intelligent Autonomous Systems Laboratory (IAS-Lab) at the University of Padua, Padua, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Autonomous Systems Laboratory (IAS-Lab), University of Padua, Padua, IT","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Intelligent Autonomous Systems Laboratory (IAS-Lab) at the University of Padua, Padua, IT","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011766022","display_name":"Andrea Fossati","orcid":"https://orcid.org/0000-0001-5170-4903"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Andrea Fossati","raw_affiliation_strings":["Computer Vision Laboratory at ETH Zurich, Zurich, CH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory at ETH Zurich, Zurich, CH","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105987440","display_name":"Luc Van Gool","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Luc Van Gool","raw_affiliation_strings":["Computer Vision Laboratory at ETH Zurich, Zurich, CH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory at ETH Zurich, Zurich, CH","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053450097","display_name":"Emanuele Menegatti","orcid":"https://orcid.org/0000-0001-5794-9979"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emanuele Menegatti","raw_affiliation_strings":["Intelligent Autonomous Systems Laboratory (IAS-Lab), University of Padua, Padua, IT","Intelligent Autonomous Systems Laboratory (IAS-Lab) at the University of Padua, Padua, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Autonomous Systems Laboratory (IAS-Lab), University of Padua, Padua, IT","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Intelligent Autonomous Systems Laboratory (IAS-Lab) at the University of Padua, Padua, IT","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4949,"has_fulltext":false,"cited_by_count":109,"citation_normalized_percentile":{"value":0.96943613,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4512","last_page":"4519"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9995999932289124,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.805604100227356},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.761786937713623},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7433472871780396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7258739471435547},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7034251689910889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6969883441925049},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.6727256774902344},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.545131504535675},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5368481278419495},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5356559157371521},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.515026330947876},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5146744847297668},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.47783899307250977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3275647461414337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09713852405548096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.805604100227356},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.761786937713623},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7433472871780396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7258739471435547},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7034251689910889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6969883441925049},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.6727256774902344},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.545131504535675},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5368481278419495},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5356559157371521},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.515026330947876},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5146744847297668},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.47783899307250977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3275647461414337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09713852405548096},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra.2014.6907518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2014.6907518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/2823487","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6907518","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W90353859","https://openalex.org/W1518138188","https://openalex.org/W1594368566","https://openalex.org/W1977925962","https://openalex.org/W2017695267","https://openalex.org/W2049981393","https://openalex.org/W2071398263","https://openalex.org/W2090320629","https://openalex.org/W2095212070","https://openalex.org/W2099940712","https://openalex.org/W2119605622","https://openalex.org/W2126355928","https://openalex.org/W2129619434","https://openalex.org/W2135132101","https://openalex.org/W2137401668","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2155722993","https://openalex.org/W2158179171","https://openalex.org/W2166164984","https://openalex.org/W2168696847","https://openalex.org/W2278062897","https://openalex.org/W4285719527","https://openalex.org/W6603697666","https://openalex.org/W6631178364","https://openalex.org/W6635569327","https://openalex.org/W6655019712"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W1670332068","https://openalex.org/W2095618524","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W2347413598","https://openalex.org/W2330863229","https://openalex.org/W71572444","https://openalex.org/W1997383766","https://openalex.org/W2350336482"],"abstract_inverted_index":{"In":[0],"this":[1,105,157],"work,":[2],"we":[3,24,47,136],"describe":[4],"a":[5,19,43,63,96,108,113,120],"novel":[6],"method":[7,110],"for":[8,31,56,138],"creating":[9],"3D":[10],"models":[11],"of":[12,18,39,90,115],"persons":[13],"freely":[14],"moving":[15],"in":[16,66,88,156],"front":[17],"consumer":[20],"depth":[21],"sensor":[22],"and":[23,118,127,147],"show":[25],"how":[26],"they":[27],"can":[28,45],"be":[29],"used":[30],"long-term":[32],"person":[33,44],"re-identification.":[34],"For":[35],"overcoming":[36],"the":[37,40,49,70,79,100],"problem":[38],"different":[41,143],"poses":[42],"assume,":[46],"exploit":[48],"information":[50],"provided":[51],"by":[52,84],"skeletal":[53,144],"tracking":[54,145],"algorithms":[55,146],"warping":[57],"every":[58],"point":[59,72,92],"cloud":[60],"frame":[61],"to":[62,77,95,153],"standard":[64,97],"pose":[65,98],"real":[67],"time.":[68],"Then,":[69],"warped":[71,94],"clouds":[73,93],"are":[74,149],"merged":[75],"together":[76],"compose":[78],"model.":[80],"Re-identification":[81],"is":[82],"performed":[83],"matching":[85],"body":[86],"shapes":[87],"terms":[89],"whole":[91],"with":[99,107,119],"described":[101],"method.":[102],"We":[103,130],"compare":[104],"technique":[106],"classification":[109],"based":[111],"on":[112,133],"descriptor":[114],"skeleton":[116,126],"features":[117],"mixed":[121],"approach":[122],"which":[123,141,148],"exploits":[124],"both":[125],"shape":[128],"features.":[129],"report":[131],"experiments":[132],"two":[134],"datasets":[135],"acquired":[137],"RGB-D":[139],"re-identification":[140],"use":[142],"made":[150],"publicly":[151],"available":[152],"foster":[154],"research":[155,159],"new":[158],"branch.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
