{"id":"https://openalex.org/W4360996657","doi":"https://doi.org/10.1109/icct56141.2022.10072296","title":"Multi-person Identification and Localization Algorithm Using RGB-D Image Segmentation","display_name":"Multi-person Identification and Localization Algorithm Using RGB-D Image Segmentation","publication_year":2022,"publication_date":"2022-11-11","ids":{"openalex":"https://openalex.org/W4360996657","doi":"https://doi.org/10.1109/icct56141.2022.10072296"},"language":"en","primary_location":{"id":"doi:10.1109/icct56141.2022.10072296","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icct56141.2022.10072296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","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/A5101556951","display_name":"Xu Han","orcid":"https://orcid.org/0000-0001-6116-3258"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Han","raw_affiliation_strings":["College of Communication &#x0026; Information Engineering, Nanjing University of Posts &#x0026; Telecommunications,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication &#x0026; Information Engineering, Nanjing University of Posts &#x0026; Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056506348","display_name":"Jun Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yan","raw_affiliation_strings":["College of Communication &#x0026; Information Engineering, Nanjing University of Posts &#x0026; Telecommunications,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication &#x0026; Information Engineering, Nanjing University of Posts &#x0026; Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":null,"first_page":"1639","last_page":"1645"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9908000230789185,"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":0.9817000031471252,"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":0.8507720232009888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7550636529922485},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6610836386680603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6004208326339722},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.5891924500465393},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5458663702011108},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5384748578071594},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5357801914215088},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5302110910415649},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4936004877090454},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46238675713539124},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45804187655448914},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45242607593536377},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.429138720035553},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.37432846426963806},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3534010052680969}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8507720232009888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7550636529922485},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6610836386680603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6004208326339722},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.5891924500465393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5458663702011108},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5384748578071594},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5357801914215088},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5302110910415649},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4936004877090454},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46238675713539124},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45804187655448914},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45242607593536377},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.429138720035553},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.37432846426963806},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3534010052680969},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct56141.2022.10072296","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icct56141.2022.10072296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 22nd International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1237993468","display_name":null,"funder_award_id":"61771256","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W874179280","https://openalex.org/W1536680647","https://openalex.org/W2397865640","https://openalex.org/W2524411964","https://openalex.org/W2570343428","https://openalex.org/W2810865670","https://openalex.org/W2963037989","https://openalex.org/W2980074585","https://openalex.org/W3002564190","https://openalex.org/W3015342372","https://openalex.org/W3085039854","https://openalex.org/W3085365633","https://openalex.org/W3092289545","https://openalex.org/W3106250896","https://openalex.org/W3216648662","https://openalex.org/W4283804702","https://openalex.org/W4293584584","https://openalex.org/W6750227808","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3135341440","https://openalex.org/W3009637957","https://openalex.org/W2431444032","https://openalex.org/W1017149716","https://openalex.org/W1970925716","https://openalex.org/W2585703169","https://openalex.org/W4385451546","https://openalex.org/W1560709653","https://openalex.org/W4318606103","https://openalex.org/W4285815683"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3],"the":[4,50,62,73,85,90,101,111,122],"development":[5],"of":[6,64,82,114],"smart":[7],"phones":[8],"and":[9,16,28,41,89],"intelligent":[10],"monitoring":[11],"systems,":[12],"visual":[13],"object":[14],"detection":[15],"localization":[17,29],"methods":[18],"have":[19,31],"been":[20],"widely":[21],"used.":[22],"Since":[23],"RGB-D":[24],"based":[25,37,109],"person":[26,65,99],"identification":[27],"technology":[30],"achieved":[32],"better":[33,126],"performances,":[34],"an":[35],"algorithm":[36,124],"on":[38,84,110],"deep":[39],"learning":[40,108],"image":[42,56],"segmentation":[43],"is":[44,77,94,105],"proposed":[45,123],"in":[46],"this":[47],"paper.":[48],"First,":[49],"raw":[51],"images":[52,88,113],"are":[53,58],"preprocessed.":[54],"Then,":[55],"segmentations":[57],"performed":[59],"according":[60],"to":[61,79],"results":[63,119],"detecting":[66],"by":[67],"YOLOv3":[68],"network.":[69],"For":[70,98],"multi-person":[71],"identification,":[72],"Haar":[74],"cascade":[75],"classifier":[76],"used":[78,95],"determine":[80],"regions":[81],"face":[83],"segmented":[86],"color":[87],"Eigen":[91],"Face":[92],"method":[93],"for":[96],"classification.":[97],"localization,":[100],"convolutional":[102],"neural":[103],"network":[104],"preformed":[106],"regression":[107],"depth":[112],"a":[115],"single":[116],"person.":[117],"Experiments":[118],"show":[120],"that":[121],"performs":[125],"than":[127],"other":[128],"existing":[129],"approaches.":[130]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
