{"id":"https://openalex.org/W1481722586","doi":"https://doi.org/10.1109/icarcv.2002.1238509","title":"Detection of attention behavior for marketing information system","display_name":"Detection of attention behavior for marketing information system","publication_year":2004,"publication_date":"2004-03-02","ids":{"openalex":"https://openalex.org/W1481722586","doi":"https://doi.org/10.1109/icarcv.2002.1238509","mag":"1481722586"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2002.1238509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1238509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","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/A5111878626","display_name":"Y. Ishii","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092282","display_name":"Soft99 (Japan)","ror":"https://ror.org/00mwp7g70","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210092282"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Ishii","raw_affiliation_strings":["JST, Softopia Japan\uc2a0and JST, Gifu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JST, Softopia Japan\uc2a0and JST, Gifu, Japan","institution_ids":["https://openalex.org/I4210092282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010746860","display_name":"Hitomi Hongo","orcid":"https://orcid.org/0000-0002-9204-4179"},"institutions":[{"id":"https://openalex.org/I4210092282","display_name":"Soft99 (Japan)","ror":"https://ror.org/00mwp7g70","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210092282"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Hongo","raw_affiliation_strings":["JST, Softopia Japan\uc2a0and JST, Gifu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JST, Softopia Japan\uc2a0and JST, Gifu, Japan","institution_ids":["https://openalex.org/I4210092282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068523992","display_name":"Makoto Kanagawa","orcid":null},"institutions":[{"id":"https://openalex.org/I3412056","display_name":"Sanyo (Japan)","ror":"https://ror.org/03wrs2f16","country_code":"JP","type":"company","lineage":["https://openalex.org/I3412056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Kanagawa","raw_affiliation_strings":["SANYO Electric Company Limited, Gifu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SANYO Electric Company Limited, Gifu, Japan","institution_ids":["https://openalex.org/I3412056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039830492","display_name":"Y. Niwa","orcid":"https://orcid.org/0000-0001-5808-5594"},"institutions":[{"id":"https://openalex.org/I4210092282","display_name":"Soft99 (Japan)","ror":"https://ror.org/00mwp7g70","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210092282"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Niwa","raw_affiliation_strings":["JST, Softopia Japan\uc2a0and JST, Gifu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JST, Softopia Japan\uc2a0and JST, Gifu, Japan","institution_ids":["https://openalex.org/I4210092282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075284186","display_name":"Kazuhiko Yamamoto","orcid":"https://orcid.org/0000-0001-9037-3625"},"institutions":[{"id":"https://openalex.org/I42405503","display_name":"Gifu University","ror":"https://ror.org/024exxj48","country_code":"JP","type":"education","lineage":["https://openalex.org/I42405503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Yamamoto","raw_affiliation_strings":["Faculty of Engineering, Gifu University, Gifu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Gifu University, Gifu, Japan","institution_ids":["https://openalex.org/I42405503"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.01991721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"710","last_page":"715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9950000047683716,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9950000047683716,"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/T11448","display_name":"Face recognition and analysis","score":0.9940000176429749,"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/T10057","display_name":"Face and Expression Recognition","score":0.9894000291824341,"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":0.7127528190612793},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5983371734619141},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4798140525817871},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.4770067036151886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3367505669593811},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.33323001861572266},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3303534686565399},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3252963423728943},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.1598036289215088},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.14287278056144714}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127528190612793},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5983371734619141},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4798140525817871},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4770067036151886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3367505669593811},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.33323001861572266},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3303534686565399},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3252963423728943},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.1598036289215088},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.14287278056144714},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2002.1238509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1238509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W115437266","https://openalex.org/W365379514","https://openalex.org/W1879216333","https://openalex.org/W1948353611","https://openalex.org/W1962738034","https://openalex.org/W2001619934","https://openalex.org/W2098491268","https://openalex.org/W2102824098","https://openalex.org/W2107891793","https://openalex.org/W2139336367","https://openalex.org/W6604658325"],"related_works":["https://openalex.org/W1967587236","https://openalex.org/W2098693229","https://openalex.org/W2384651879","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W2133653344"],"abstract_inverted_index":{"For":[0],"marketing":[1,21,59],"research,":[2],"it":[3,126],"is":[4,28,70,109,127],"important":[5],"to":[6,14,75,129],"know":[7],"what":[8],"customers":[9],"are":[10,35,73],"interested":[11],"in,":[12],"and":[13,37,98,118],"evaluate":[15],"the":[16,24,76,82,85,100,134],"effectiveness":[17],"of":[18,26,48,90,103,121],"advertisements.":[19,123],"Nowadays,":[20],"information":[22,60],"regarding":[23],"evaluation":[25,120],"advertisements":[27,80,132],"mainly":[29,88],"obtained":[30],"from":[31],"researchers'":[32],"activities,":[33],"which":[34,131],"difficult":[36],"time":[38,116],"consuming.":[39],"The":[40],"research":[41],"activities":[42],"can":[43,143],"be":[44],"improved":[45],"by":[46,106],"use":[47],"surveillance":[49,117],"systems":[50],"with":[51,67,94],"computer":[52,68],"vision":[53,69],"technologies.":[54],"In":[55,124],"this":[56,112,141],"paper,":[57],"a":[58,104],"system":[61,113,142],"that":[62,78,111,140],"detects":[63],"customers'":[64],"attention":[65,145],"behavior":[66],"proposed.":[71],"Cameras":[72],"attached":[74],"display":[77],"presents":[79],"in":[81],"system.":[83],"Thus,":[84],"proposed":[86],"method":[87],"consists":[89],"frontal":[91],"face":[92,105],"detection":[93],"\"Four-Directional":[95],"Features":[96],"(FDF)\"":[97],"calculating":[99],"spatial":[101],"position":[102],"stereovision.":[107],"It":[108],"supposed":[110],"enables":[114],"long":[115],"uniform":[119],"presented":[122],"addition,":[125],"easy":[128],"distinguish":[130],"attract":[133],"most":[135],"attention.":[136],"Experimental":[137],"results":[138],"show":[139],"detect":[144],"behavior.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}