{"id":"https://openalex.org/W2292274510","doi":"https://doi.org/10.1109/robio.2015.7419070","title":"People perception from RGB-D cameras for mobile robots","display_name":"People perception from RGB-D cameras for mobile robots","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2292274510","doi":"https://doi.org/10.1109/robio.2015.7419070","mag":"2292274510"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2015.7419070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7419070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5084185160","display_name":"Hengli Liu","orcid":"https://orcid.org/0000-0002-7787-0384"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengli Liu","raw_affiliation_strings":["School of Electrical and Automation Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016769551","display_name":"Jun Luo","orcid":"https://orcid.org/0000-0003-1314-5631"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Luo","raw_affiliation_strings":["School of Electrical and Automation Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030772308","display_name":"Peng Wu","orcid":"https://orcid.org/0000-0002-0584-8161"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wu","raw_affiliation_strings":["School of Electrical and Automation Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086702173","display_name":"Shaorong Xie","orcid":"https://orcid.org/0000-0002-8016-9310"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaorong Xie","raw_affiliation_strings":["School of Electrical and Automation Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100780078","display_name":"Hengyu Li","orcid":"https://orcid.org/0000-0002-2243-5908"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengyu Li","raw_affiliation_strings":["School of Electrical and Automation Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084185160"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15287595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"2020","last_page":"2025"},"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":0.998199999332428,"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":0.9954000115394592,"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-vision","display_name":"Computer vision","score":0.762798547744751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7534949779510498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7470512390136719},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6506561040878296},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6288865208625793},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5737770795822144},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5468650460243225},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4525368809700012},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11859568953514099}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.762798547744751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7534949779510498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470512390136719},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6506561040878296},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6288865208625793},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5737770795822144},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5468650460243225},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4525368809700012},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11859568953514099},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2015.7419070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7419070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1536864910","https://openalex.org/W1970387420","https://openalex.org/W1973981596","https://openalex.org/W1974925060","https://openalex.org/W1997714027","https://openalex.org/W2000825879","https://openalex.org/W2010529405","https://openalex.org/W2017301142","https://openalex.org/W2022699039","https://openalex.org/W2067528992","https://openalex.org/W2070217198","https://openalex.org/W2076878209","https://openalex.org/W2077638917","https://openalex.org/W2079444808","https://openalex.org/W2083720540","https://openalex.org/W2088265804","https://openalex.org/W2096685076","https://openalex.org/W2097026069","https://openalex.org/W2104511990","https://openalex.org/W2112662363","https://openalex.org/W2118810648","https://openalex.org/W2122426897","https://openalex.org/W2124781496","https://openalex.org/W2127420331","https://openalex.org/W2131072478","https://openalex.org/W2144049107","https://openalex.org/W2144150874","https://openalex.org/W2152864241","https://openalex.org/W2161969291","https://openalex.org/W3210232381","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2107628111","https://openalex.org/W2936725271","https://openalex.org/W2394004323","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2122871747","https://openalex.org/W3114279067"],"abstract_inverted_index":{"Understanding":[0],"how":[1],"humans":[2,143],"move":[3],"through":[4],"the":[5,150],"scene":[6],"is":[7],"a":[8,29,44,53,71,113,121,125],"key":[9],"issue":[10],"of":[11,52,74,154],"decision-making":[12],"for":[13,57,89],"an":[14],"autonomous":[15],"mobile":[16,30,58],"robot":[17],"in":[18],"crown":[19],"people":[20,27,45],"zones.":[21],"So":[22],"accurately":[23],"detecting":[24],"and":[25,37,47,65,99,152,158],"tracking":[26,48,159],"from":[28,108],"platform":[31],"can":[32],"help":[33],"improve":[34],"interaction":[35],"effective":[36],"efficient.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"proposed":[43,70],"detection":[46,157],"system":[49],"using":[50],"combination":[51],"several":[54],"new":[55],"techniques":[56],"robots,":[59],"plan-view":[60,77,94],"maps,":[61,95],"depth":[62,114],"weighted":[63,115],"histograms,":[64],"GNN":[66],"data":[67,136],"association.":[68],"We":[69],"spatial":[72],"region":[73],"interest":[75],"based":[76],"maps":[78],"to":[79,104,119,131,141],"detect":[80],"human":[81,106,122,156],"candidates.":[82],"Firstly,":[83],"point":[84,109],"cloud":[85,110],"sub-clusters":[86],"were":[87,102,145],"segmented":[88],"candidate":[90],"detection.":[91],"Two":[92],"different":[93],"named":[96],"occupancy":[97],"map":[98],"height":[100],"map,":[101],"employed":[103],"identify":[105],"candidates":[107],"sub-clusters.":[111],"Meanwhile,":[112],"histogram":[116],"was":[117,129,138],"extracted":[118],"feature":[120],"candidate.":[123],"Then,":[124],"particle":[126],"filter":[127],"algorithm":[128],"adopted":[130],"track":[132],"human's":[133],"motion.":[134],"Finally,":[135],"association":[137],"set":[139],"up":[140],"re-identify":[142],"which":[144],"tracked.":[146],"Extensive":[147],"experiments":[148],"demonstrated":[149],"effectiveness":[151],"robustness":[153],"our":[155],"system.":[160]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
