{"id":"https://openalex.org/W7131080483","doi":"https://doi.org/10.1109/iccvw69036.2025.00250","title":"RetailAction: Dataset for Multi-View Spatio-Temporal Localization of Human-Object Interactions in Retail","display_name":"RetailAction: Dataset for Multi-View Spatio-Temporal Localization of Human-Object Interactions in Retail","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7131080483","doi":"https://doi.org/10.1109/iccvw69036.2025.00250"},"language":null,"primary_location":{"id":"doi:10.1109/iccvw69036.2025.00250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","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/A5046544627","display_name":"Davide Mazzini","orcid":"https://orcid.org/0000-0001-8924-9889"},"institutions":[{"id":"https://openalex.org/I4210086149","display_name":"Standard Bio (Norway)","ror":"https://ror.org/00njcfy31","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210086149"]},{"id":"https://openalex.org/I4210107489","display_name":"American Standard (United States)","ror":"https://ror.org/013b0rk29","country_code":"US","type":"company","lineage":["https://openalex.org/I4210107489"]}],"countries":["NO","US"],"is_corresponding":false,"raw_author_name":"Davide Mazzini","raw_affiliation_strings":["STANDARD.AI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STANDARD.AI,USA","institution_ids":["https://openalex.org/I4210086149","https://openalex.org/I4210107489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126628679","display_name":"Alberto Raimondi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086149","display_name":"Standard Bio (Norway)","ror":"https://ror.org/00njcfy31","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210086149"]},{"id":"https://openalex.org/I4210107489","display_name":"American Standard (United States)","ror":"https://ror.org/013b0rk29","country_code":"US","type":"company","lineage":["https://openalex.org/I4210107489"]}],"countries":["NO","US"],"is_corresponding":false,"raw_author_name":"Alberto Raimondi","raw_affiliation_strings":["STANDARD.AI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STANDARD.AI,USA","institution_ids":["https://openalex.org/I4210086149","https://openalex.org/I4210107489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126592788","display_name":"Bruno Abbate","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086149","display_name":"Standard Bio (Norway)","ror":"https://ror.org/00njcfy31","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210086149"]},{"id":"https://openalex.org/I4210107489","display_name":"American Standard (United States)","ror":"https://ror.org/013b0rk29","country_code":"US","type":"company","lineage":["https://openalex.org/I4210107489"]}],"countries":["NO","US"],"is_corresponding":false,"raw_author_name":"Bruno Abbate","raw_affiliation_strings":["STANDARD.AI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STANDARD.AI,USA","institution_ids":["https://openalex.org/I4210086149","https://openalex.org/I4210107489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126605165","display_name":"Daniel Fischetti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086149","display_name":"Standard Bio (Norway)","ror":"https://ror.org/00njcfy31","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210086149"]},{"id":"https://openalex.org/I4210107489","display_name":"American Standard (United States)","ror":"https://ror.org/013b0rk29","country_code":"US","type":"company","lineage":["https://openalex.org/I4210107489"]}],"countries":["NO","US"],"is_corresponding":false,"raw_author_name":"Daniel Fischetti","raw_affiliation_strings":["STANDARD.AI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STANDARD.AI,USA","institution_ids":["https://openalex.org/I4210086149","https://openalex.org/I4210107489"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122150090","display_name":"David M. Woollard","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086149","display_name":"Standard Bio (Norway)","ror":"https://ror.org/00njcfy31","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210086149"]},{"id":"https://openalex.org/I4210107489","display_name":"American Standard (United States)","ror":"https://ror.org/013b0rk29","country_code":"US","type":"company","lineage":["https://openalex.org/I4210107489"]}],"countries":["NO","US"],"is_corresponding":false,"raw_author_name":"David M Woollard","raw_affiliation_strings":["STANDARD.AI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STANDARD.AI,USA","institution_ids":["https://openalex.org/I4210086149","https://openalex.org/I4210107489"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"issue":null,"first_page":"2400","last_page":"2408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.31470000743865967,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.31470000743865967,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.07479999959468842,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.05530000105500221,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.640500009059906},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5800999999046326},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5763999819755554},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5608999729156494},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5153999924659729},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49540001153945923},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.453000009059906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549999952316284},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.640500009059906},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5800999999046326},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5763999819755554},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5608999729156494},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5153999924659729},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49540001153945923},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.453000009059906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44760000705718994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44369998574256897},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.44190001487731934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40799999237060547},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4059999883174896},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.38670000433921814},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.37880000472068787},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.36899998784065247},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3089999854564667},{"id":"https://openalex.org/C2988186277","wikidata":"https://www.wikidata.org/wiki/Q5915793","display_name":"Location data","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.2653999924659729}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw69036.2025.00250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.441812127828598}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1927052826","https://openalex.org/W2034014085","https://openalex.org/W2126579184","https://openalex.org/W2336403884","https://openalex.org/W2461621749","https://openalex.org/W2618799552","https://openalex.org/W2625366777","https://openalex.org/W2962711930","https://openalex.org/W2962773068","https://openalex.org/W2963076818","https://openalex.org/W2990503944","https://openalex.org/W2994508843","https://openalex.org/W3096609285","https://openalex.org/W3173621652","https://openalex.org/W4214614183","https://openalex.org/W4307838488","https://openalex.org/W4386057769"],"related_works":[],"abstract_inverted_index":{"We":[0,136],"introduce":[1],"RetailAction,":[2],"a":[3,88,139,156,179],"novel":[4,157],"dataset":[5,77,100],"designed":[6],"for":[7,107,115,142,182],"multi-view":[8],"spatio-temporal":[9,26,143],"localization":[10,144],"of":[11,79,91,132,145,159],"human-object":[12],"interactions":[13,58],"in":[14,37,70],"retail":[15,44,185],"stores.":[16,75],"Existing":[17],"datasets":[18],"either":[19],"provide":[20,129],"video-level":[21],"action":[22,113,174],"classification":[23],"only":[24],"(without":[25],"localization),":[27],"or,":[28],"when":[29],"such":[30],"annotations":[31,102],"are":[32,35],"present,":[33],"they":[34],"limited":[36],"scale":[38],"and":[39,62,112,127,148,176],"not":[40],"specific":[41],"to":[42,96,163,169],"the":[43,97,99,123,133],"sector,":[45],"often":[46],"lacking":[47],"real-world":[48,73],"store":[49,63],"data.":[50],"RetailAction":[51,167],"addresses":[52],"these":[53],"limitations":[54],"by":[55],"focusing":[56],"on":[57,172],"between":[59],"actual":[60],"customers":[61],"products,":[64],"captured":[65],"from":[66],"multiple":[67],"top-view":[68],"cameras":[69],"10":[71],"different":[72,150],"convenience":[74],"The":[76],"consists":[78],"21,000":[80],"samples,":[81],"each":[82,116],"containing":[83],"two":[84],"synchronized":[85],"videos":[86],"with":[87],"total":[89],"duration":[90],"41":[92],"hours.":[93],"In":[94,118],"addition":[95],"videos,":[98],"includes":[101],"detailing":[103],"precise":[104],"interaction":[105,146],"points":[106,147],"both":[108],"views,":[109],"temporal":[110],"ranges,":[111],"categories":[114],"interaction.":[117],"this":[119,164],"paper,":[120],"we":[121,128,154],"describe":[122],"data":[124],"collection":[125],"process":[126],"an":[130],"analysis":[131],"dataset's":[134],"statistics.":[135],"also":[137],"present":[138,155],"baseline":[140],"model":[141],"compare":[149],"state-of-the-art":[151],"backbones.":[152],"Finally,":[153],"set":[158],"evaluation":[160],"metrics":[161],"tailored":[162],"use":[165],"case.":[166],"aims":[168],"facilitate":[170],"research":[171],"fine-grained":[173],"recognition":[175],"localization,":[177],"offering":[178],"valuable":[180],"resource":[181],"developing":[183],"advanced":[184],"analytics":[186],"applications.":[187]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-02-24T00:00:00"}