{"id":"https://openalex.org/W4390099733","doi":"https://doi.org/10.1109/robio58561.2023.10354856","title":"Real-Time RGB-D Pedestrian Tracking for Mobile Robot","display_name":"Real-Time RGB-D Pedestrian Tracking for Mobile Robot","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4390099733","doi":"https://doi.org/10.1109/robio58561.2023.10354856"},"language":"en","primary_location":{"id":"doi:10.1109/robio58561.2023.10354856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio58561.2023.10354856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5100429120","display_name":"Wenhao Liu","orcid":"https://orcid.org/0009-0004-9828-6736"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Liu","raw_affiliation_strings":["Harbin Institute of Technology,School of Mechatronics Engineering and Automation,Shenzhen,China","School of Mechatronics Engineering and Automation, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Mechatronics Engineering and Automation,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Mechatronics Engineering and Automation, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073491173","display_name":"Wanlei Li","orcid":"https://orcid.org/0009-0006-0329-2573"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanlei Li","raw_affiliation_strings":["Harbin Institute of Technology,School of Mechatronics Engineering and Automation,Shenzhen,China","School of Mechatronics Engineering and Automation, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Mechatronics Engineering and Automation,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Mechatronics Engineering and Automation, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453544","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-5121-0599"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["Harbin Institute of Technology,School of Mechatronics Engineering and Automation,Shenzhen,China","School of Mechatronics Engineering and Automation, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Mechatronics Engineering and Automation,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Mechatronics Engineering and Automation, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049302472","display_name":"Jun He","orcid":"https://orcid.org/0000-0003-1671-2283"},"institutions":[{"id":"https://openalex.org/I4210122640","display_name":"Nigerian Institute For Oil Palm Reasearch","ror":"https://ror.org/02y05bg81","country_code":"NG","type":"government","lineage":["https://openalex.org/I4210122640"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Jun He","raw_affiliation_strings":["Sangfor Technologies Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sangfor Technologies Inc","institution_ids":["https://openalex.org/I4210122640"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087749601","display_name":"Yunjiang Lou","orcid":"https://orcid.org/0000-0001-8203-7795"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjiang Lou","raw_affiliation_strings":["Harbin Institute of Technology,School of Mechatronics Engineering and Automation,Shenzhen,China","School of Mechatronics Engineering and Automation, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Mechatronics Engineering and Automation,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Mechatronics Engineering and Automation, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3368,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60480267,"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":"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9970999956130981,"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":0.7740874290466309},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7711201906204224},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.7627617716789246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7601933479309082},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.685718297958374},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6255582571029663},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6251170039176941},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5578375458717346},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.555156409740448},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4909835159778595},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.43548884987831116},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.43146252632141113},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.423241525888443},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10768145322799683},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09919527173042297}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7740874290466309},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7711201906204224},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.7627617716789246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7601933479309082},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.685718297958374},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6255582571029663},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6251170039176941},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5578375458717346},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.555156409740448},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4909835159778595},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.43548884987831116},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.43146252632141113},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.423241525888443},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10768145322799683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09919527173042297},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio58561.2023.10354856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio58561.2023.10354856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W861352110","https://openalex.org/W2102605133","https://openalex.org/W2120419212","https://openalex.org/W2154889144","https://openalex.org/W2161969291","https://openalex.org/W2193145675","https://openalex.org/W2233911294","https://openalex.org/W2252355370","https://openalex.org/W2411443472","https://openalex.org/W2963001155","https://openalex.org/W2963037989","https://openalex.org/W3104218139","https://openalex.org/W3106250896","https://openalex.org/W3131716792","https://openalex.org/W4286904999","https://openalex.org/W4312870640","https://openalex.org/W6623841700"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W3122828758","https://openalex.org/W2170799233","https://openalex.org/W2972620127","https://openalex.org/W2981141433"],"abstract_inverted_index":{"Pedestrian":[0],"tracking":[1,47,128,149,155,169,198,206],"is":[2],"an":[3,81],"important":[4],"research":[5],"direction":[6],"in":[7,35,129,183,200],"the":[8,23,72,90,103,116,130,152,163,192,197],"field":[9],"of":[10,26,74,92,105,119,168,178,196],"mobile":[11,28,158],"robotics.":[12],"In":[13,38],"order":[14],"to":[15,31,57,67,101,208,211],"complete":[16],"tasks":[17],"more":[18],"efficiently":[19],"and":[20,60,71,148,165,194],"without":[21],"hindering":[22],"original":[24],"intention":[25],"pedestrians,":[27,78],"robots":[29],"need":[30],"track":[32],"pedestrians":[33,59,106,120],"accurately":[34],"real":[36],"time.":[37],"this":[39],"paper,":[40],"we":[41,50,79,96,171,203],"propose":[42,51],"a":[43,52,181],"real-time":[44,153,166],"RGB-D":[45],"pedestrian":[46,53,86,94,127,154,176],"framework.":[48],"First,":[49],"segmentation":[54],"detection":[55,76,99,147],"algorithm":[56,100,150,199,207],"detect":[58],"obtain":[61,102],"their":[62,139],"two-dimensional":[63],"positions.":[64],"Second,":[65],"due":[66],"limited":[68],"computational":[69],"resources":[70],"rarity":[73],"missed":[75],"for":[77,85,156],"use":[80,97],"nearest":[82],"neighbor":[83],"tracker":[84],"tracking.":[87],"To":[88,161,190],"address":[89],"issue":[91],"inaccurate":[93],"localization,":[95],"our":[98,145,205],"center":[104],"from":[107,186],"RGB":[108,136],"images.":[109],"By":[110],"combining":[111],"them":[112],"with":[113,138],"point":[114,142],"clouds,":[115],"2D":[117],"coordinates":[118],"are":[121],"obtained.":[122],"Our":[123],"method":[124],"enables":[125],"accurate":[126],"world":[131],"coordinate,":[132],"by":[133],"adaptively":[134],"fusing":[135],"images":[137],"corresponding":[140],"depth-based":[141],"clouds.":[143],"Besides,":[144],"light-weight":[146],"guarantee":[151],"realistic":[157],"robot":[159],"applications.":[160],"validate":[162,191],"effectiveness":[164],"performance":[167],"algorithm,":[170],"conduct":[172],"experiments":[173],"using":[174],"multiple":[175],"datasets":[177],"approximately":[179],"half":[180],"minute":[182],"length,":[184],"captured":[185],"two":[187],"different":[188],"perspectives.":[189],"practicality":[193],"accuracy":[195],"real-world":[201],"scenarios,":[202],"extend":[204],"apply":[209],"it":[210],"trajectory":[212],"prediction.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
