{"id":"https://openalex.org/W4296104879","doi":"https://doi.org/10.3390/s22186740","title":"A Customer Behavior Recognition Method for Flexibly Adapting to Target Changes in Retail Stores","display_name":"A Customer Behavior Recognition Method for Flexibly Adapting to Target Changes in Retail Stores","publication_year":2022,"publication_date":"2022-09-06","ids":{"openalex":"https://openalex.org/W4296104879","doi":"https://doi.org/10.3390/s22186740","pmid":"https://pubmed.ncbi.nlm.nih.gov/36146088"},"language":"en","primary_location":{"id":"doi:10.3390/s22186740","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22186740","pdf_url":"https://www.mdpi.com/1424-8220/22/18/6740/pdf?version=1662528793","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/18/6740/pdf?version=1662528793","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103217462","display_name":"Jiahao Wen","orcid":"https://orcid.org/0000-0001-7384-0957"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiahao Wen","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, 6-3-09 Aramaki-Aza-Aoba, Aoba-ku, Sendai 980-8579, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7384-0957","affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, 6-3-09 Aramaki-Aza-Aoba, Aoba-ku, Sendai 980-8579, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019791003","display_name":"Toru Abe","orcid":"https://orcid.org/0000-0002-3786-0122"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Toru Abe","raw_affiliation_strings":["Cyberscience Center, Tohoku University, 6-3 Aramaki-Aza-Aoba, Aoba-ku, Sendai 980-8578, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3786-0122","affiliations":[{"raw_affiliation_string":"Cyberscience Center, Tohoku University, 6-3 Aramaki-Aza-Aoba, Aoba-ku, Sendai 980-8578, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062341508","display_name":"Takuo Suganuma","orcid":"https://orcid.org/0000-0002-5798-5125"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuo Suganuma","raw_affiliation_strings":["Cyberscience Center, Tohoku University, 6-3 Aramaki-Aza-Aoba, Aoba-ku, Sendai 980-8578, Japan"],"raw_orcid":"https://orcid.org/0000-0002-5798-5125","affiliations":[{"raw_affiliation_string":"Cyberscience Center, Tohoku University, 6-3 Aramaki-Aza-Aoba, Aoba-ku, Sendai 980-8578, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019791003"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.8119,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73099234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"18","first_page":"6740","last_page":"6740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9994000196456909,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9911999702453613,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.8864226937294006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8092771768569946},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5245604515075684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5084237456321716},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5036353468894958},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.48619335889816284},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42217448353767395},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39122650027275085},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.382252037525177},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10120534896850586}],"concepts":[{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.8864226937294006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8092771768569946},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5245604515075684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5084237456321716},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5036353468894958},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.48619335889816284},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42217448353767395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39122650027275085},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.382252037525177},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10120534896850586},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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}],"mesh":[{"descriptor_ui":"D003258","descriptor_name":"Consumer Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003258","descriptor_name":"Consumer Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003258","descriptor_name":"Consumer Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22186740","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22186740","pdf_url":"https://www.mdpi.com/1424-8220/22/18/6740/pdf?version=1662528793","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36146088","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36146088","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:893e0fc8ba684c5da5469cd40e7b190e","is_oa":true,"landing_page_url":"https://doaj.org/article/893e0fc8ba684c5da5469cd40e7b190e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 18, p 6740 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/18/6740/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22186740","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 18; Pages: 6740","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9504441","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9504441","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22186740","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22186740","pdf_url":"https://www.mdpi.com/1424-8220/22/18/6740/pdf?version=1662528793","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4296104879.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W47251587","https://openalex.org/W72576775","https://openalex.org/W1861492603","https://openalex.org/W1896638119","https://openalex.org/W1981398125","https://openalex.org/W2001830652","https://openalex.org/W2064675550","https://openalex.org/W2252355370","https://openalex.org/W2310517937","https://openalex.org/W2344053138","https://openalex.org/W2461621749","https://openalex.org/W2609203674","https://openalex.org/W2889974534","https://openalex.org/W2904797294","https://openalex.org/W2969333779","https://openalex.org/W2971237743","https://openalex.org/W3086951830","https://openalex.org/W3104218139","https://openalex.org/W3171328460","https://openalex.org/W3173599944","https://openalex.org/W3179414568","https://openalex.org/W4205355808","https://openalex.org/W4214706442"],"related_works":["https://openalex.org/W4320197069","https://openalex.org/W2200925278","https://openalex.org/W2104777652","https://openalex.org/W2613077666","https://openalex.org/W2652818544","https://openalex.org/W2363840281","https://openalex.org/W2888154659","https://openalex.org/W2360875750","https://openalex.org/W2026019026","https://openalex.org/W2127769904"],"abstract_inverted_index":{"To":[0],"provide":[1],"analytic":[2],"materials":[3],"for":[4,7],"business":[5],"management":[6],"smart":[8],"retail":[9,175],"solutions,":[10],"it":[11],"is":[12,63,127,165],"essential":[13],"to":[14,66,68,88,115,154,170,198],"recognize":[15],"various":[16],"customer":[17,47],"behaviors":[18],"(CB)":[19],"from":[20],"video":[21],"footage":[22],"acquired":[23],"by":[24,118],"in-store":[25,41],"cameras.":[26],"Along":[27],"with":[28,98,123,200,218],"frequent":[29],"changes":[30,69,173,202],"in":[31,70,121,174,203],"needs":[32],"and":[33,92,187],"environments,":[34],"such":[35],"as":[36],"promotion":[37],"plans,":[38],"product":[39],"categories,":[40],"layouts,":[42],"etc.,":[43],"the":[44,57,60,64,188,194,201],"targets":[45],"of":[46,56,59,86,105,141,159,167,196],"behavior":[48],"recognition":[49,71,220],"(CBR)":[50],"also":[51],"change":[52],"frequently.":[53],"Therefore,":[54],"one":[55],"requirements":[58],"CBR":[61,113],"method":[62,114,164,214],"flexibility":[65,117,217],"adapt":[67],"targets.":[72],"However,":[73],"existing":[74],"approaches,":[75],"mostly":[76],"based":[77],"on":[78],"machine":[79],"learning,":[80],"usually":[81],"take":[82],"a":[83,112,128,146,156,210],"great":[84],"deal":[85],"time":[87],"re-collect":[89],"training":[90],"data":[91],"train":[93],"new":[94],"models":[95],"when":[96],"faced":[97],"changing":[99],"target":[100,171,204],"CBs,":[101,161],"reflecting":[102],"their":[103],"lack":[104],"flexibility.":[106],"In":[107,177],"this":[108],"paper,":[109],"we":[110,180],"propose":[111],"achieve":[116],"considering":[119],"CB":[120,172],"combination":[122,140,195],"primitives.":[124],"A":[125],"primitive":[126],"unit":[129],"that":[130],"describes":[131],"an":[132],"object's":[133],"motion":[134],"or":[135],"multiple":[136],"objects'":[137],"relationships.":[138],"The":[139],"different":[142,160,207],"primitives":[143,150,197],"can":[144,151],"characterize":[145],"particular":[147],"CB.":[148],"Since":[149],"be":[152],"reused":[153],"define":[155],"wide":[157],"range":[158],"our":[162,183,212],"proposed":[163,213],"capable":[166],"flexibly":[168],"adapting":[169],"stores.":[176],"experiments":[178],"undertaken,":[179],"utilized":[181],"both":[182],"collected":[184],"laboratory":[185],"dataset":[186],"public":[189],"MERL":[190],"dataset.":[191],"We":[192],"changed":[193],"cope":[199],"CBs":[205],"between":[206],"datasets.":[208],"As":[209],"result,":[211],"achieved":[215],"good":[216],"acceptable":[219],"accuracy.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}