{"id":"https://openalex.org/W4406612221","doi":"https://doi.org/10.1109/smc54092.2024.10831837","title":"Self-Checkout Product Detection with Occlusion Layer Prediction and Intersection Weighting","display_name":"Self-Checkout Product Detection with Occlusion Layer Prediction and Intersection Weighting","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406612221","doi":"https://doi.org/10.1109/smc54092.2024.10831837"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5071870939","display_name":"Zhongling Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongling Liu","raw_affiliation_strings":["Fujitsu Research and Development Center,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Research and Development Center,Beijing,China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018232553","display_name":"Ziqiang Shi","orcid":"https://orcid.org/0000-0002-3105-6213"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqiang Shi","raw_affiliation_strings":["Fujitsu Research and Development Center,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Research and Development Center,Beijing,China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044324493","display_name":"Rujie Liu","orcid":"https://orcid.org/0000-0002-4992-7312"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rujie Liu","raw_affiliation_strings":["Fujitsu Research and Development Center,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Research and Development Center,Beijing,China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324301","display_name":"Liu Liu","orcid":"https://orcid.org/0000-0003-4218-8008"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Liu","raw_affiliation_strings":["Fujitsu Research and Development Center,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Research and Development Center,Beijing,China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100868451","display_name":"Takuma Yamamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuma Yamamoto","raw_affiliation_strings":["Fujitsu Research, Fujitsu Limited,Kanagawa,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Research, Fujitsu Limited,Kanagawa,Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083996799","display_name":"Daisuke Uchida","orcid":"https://orcid.org/0000-0002-4845-3231"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Uchida","raw_affiliation_strings":["Fujitsu Research, Fujitsu Limited,Kanagawa,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujitsu Research, Fujitsu Limited,Kanagawa,Japan","institution_ids":["https://openalex.org/I2252096349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43953685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1742","last_page":"1747"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9248999953269958,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9248999953269958,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/intersection","display_name":"Intersection (aeronautics)","score":0.7029025554656982},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6927980780601501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6224685311317444},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5440958142280579},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4880317747592926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41501089930534363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27120834589004517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1377863883972168},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08037710189819336},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0734102725982666},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06336340308189392},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.05320322513580322},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.05248156189918518}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7029025554656982},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6927980780601501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6224685311317444},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5440958142280579},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4880317747592926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41501089930534363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27120834589004517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1377863883972168},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08037710189819336},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0734102725982666},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06336340308189392},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.05320322513580322},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.05248156189918518},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10831837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1667249920","https://openalex.org/W2962677013","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2964121718","https://openalex.org/W2964241181","https://openalex.org/W2990763144","https://openalex.org/W3096609285","https://openalex.org/W3105335547","https://openalex.org/W3110686003","https://openalex.org/W3208282728","https://openalex.org/W4377142736","https://openalex.org/W4383888157","https://openalex.org/W4385801040","https://openalex.org/W4385801304","https://openalex.org/W4387968313","https://openalex.org/W6620707391","https://openalex.org/W6758281461","https://openalex.org/W6784094891","https://openalex.org/W6790273669","https://openalex.org/W6798838024","https://openalex.org/W6838322790","https://openalex.org/W6839928671","https://openalex.org/W6845937561"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911"],"abstract_inverted_index":{"Automatic":[0],"self-checkout":[1,138],"based":[2,42],"on":[3,43,79,158],"computer":[4],"vision":[5],"is":[6,28,46,110,123,143],"gaining":[7],"popularity":[8],"in":[9,31,57,116],"the":[10,17,32,84,117,135,163,166],"field":[11],"of":[12,34,39,54,87,130,137,165],"retail":[13,25,131,150],"industry,":[14],"due":[15],"to":[16,82,99,161],"convenience":[18],"for":[19,134,149],"customers":[20],"and":[21,90],"manpower":[22],"saving.":[23],"Thus,":[24],"product":[26,40,64,89,151],"detection":[27,41,105,152],"vital":[29],"important":[30],"process":[33],"automatic":[35],"checkout.":[36],"The":[37],"task":[38],"single":[44],"camera":[45],"still":[47],"challenging,":[48],"like":[49],"(1)":[50],"holding":[51],"a":[52,76,88,128],"variety":[53],"different":[55],"products":[56],"one":[58],"or":[59,146],"both":[60],"hands,":[61],"(2)":[62],"variable":[63],"appearance,":[65],"(3)":[66],"intentional":[67],"fraudulent":[68],"checkout":[69,132],"practices.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74,125],"introduce":[75],"third":[77,121],"branch":[78],"ordinary":[80],"detectors":[81],"predict":[83],"occlusion":[85,93],"layer":[86,94],"then":[91],"adopt":[92],"aware":[95],"non-max":[96],"suppression":[97],"(OLA-NMS)":[98],"depress":[100],"false":[101],"positives":[102],"while":[103],"keeping":[104],"rate.":[106],"Furthermore,":[107],"IoU-activate":[108],"loss":[109],"adopted":[111],"by":[112],"considering":[113],"location":[114],"information":[115],"classification":[118],"loss.":[119],"Our":[120],"contribution":[122],"that":[124],"have":[126],"collected":[127],"large-scale":[129],"images":[133],"target":[136],"monitoring":[139],"(SCOM),":[140],"since":[141],"there":[142],"no":[144],"dataset":[145,160],"benchmark":[147],"available":[148],"under":[153],"occlusion.":[154],"Experiments":[155],"are":[156],"conducted":[157],"SCOM":[159],"demonstrate":[162],"effectiveness":[164],"proposed":[167],"method.":[168]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
