{"id":"https://openalex.org/W3042279863","doi":"https://doi.org/10.1145/3386392.3399282","title":"Tracking Museum Visitors through Convolutional Object Detectors","display_name":"Tracking Museum Visitors through Convolutional Object Detectors","publication_year":2020,"publication_date":"2020-07-13","ids":{"openalex":"https://openalex.org/W3042279863","doi":"https://doi.org/10.1145/3386392.3399282","mag":"3042279863"},"language":"en","primary_location":{"id":"doi:10.1145/3386392.3399282","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386392.3399282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"article","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/A5011861806","display_name":"Mauro Mezzini","orcid":"https://orcid.org/0000-0002-5308-0097"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Mauro Mezzini","raw_affiliation_strings":["Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Roma Tre University, Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070750659","display_name":"Carla Limongelli","orcid":"https://orcid.org/0000-0002-0323-7738"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carla Limongelli","raw_affiliation_strings":["Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Roma Tre University, Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089623580","display_name":"Giuseppe Sansonetti","orcid":"https://orcid.org/0000-0003-4953-1390"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Sansonetti","raw_affiliation_strings":["Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Roma Tre University, Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086270445","display_name":"Carlo De Medio","orcid":"https://orcid.org/0000-0001-5299-6581"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo De Medio","raw_affiliation_strings":["Roma Tre University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Roma Tre University, Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011861806"],"corresponding_institution_ids":["https://openalex.org/I119003972"],"apc_list":null,"apc_paid":null,"fwci":0.6839,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.7161222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"352","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9979000091552734,"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":0.9979000091552734,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9973999857902527,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9890000224113464,"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":0.7357719540596008},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5382670164108276},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4959050118923187},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4830968379974365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3983483910560608},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3872019052505493},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08179616928100586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7357719540596008},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5382670164108276},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4959050118923187},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4830968379974365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3983483910560608},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3872019052505493},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08179616928100586},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3386392.3399282","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3386392.3399282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma3.it:11590/369109","is_oa":false,"landing_page_url":"http://hdl.handle.net/11590/369109","pdf_url":null,"source":{"id":"https://openalex.org/S4377196120","display_name":"Iris (Roma Tre University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119003972","host_organization_name":"Roma Tre University","host_organization_lineage":["https://openalex.org/I119003972"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2006330002","https://openalex.org/W2132328056","https://openalex.org/W2199058847","https://openalex.org/W2345729520","https://openalex.org/W2551467712","https://openalex.org/W2572539267","https://openalex.org/W2908073448","https://openalex.org/W2914304175","https://openalex.org/W2940046643","https://openalex.org/W2990138404","https://openalex.org/W4241238464"],"related_works":["https://openalex.org/W4307010368","https://openalex.org/W2789220062","https://openalex.org/W2422898642","https://openalex.org/W2534746541","https://openalex.org/W2375636617","https://openalex.org/W2352586926","https://openalex.org/W3177406559","https://openalex.org/W2736053408","https://openalex.org/W2385949326","https://openalex.org/W2185534064"],"abstract_inverted_index":{"Tracking":[0,34],"museum":[1,39,136],"visitors":[2,85],"may":[3],"provide":[4],"useful":[5],"insights":[6],"about":[7],"them,":[8],"thus":[9,119],"enabling":[10],"curators":[11],"and":[12,19,26,76,128,145,152],"personnel":[13],"to":[14,27,103],"better":[15],"manage":[16],"the":[17,20,23,61,104,122,126],"flows":[18],"arrangement":[21],"of":[22,35,66,106,125,131],"museum's":[24],"works":[25],"develop":[28],"a":[29,38,97,132,135],"recommender":[30],"system":[31,111,139],"as":[32],"well.":[33],"visits":[36],"in":[37,60,117,134],"environment":[40],"is":[41],"an":[42],"expensive":[43,69],"task":[44],"if":[45],"performed":[46],"without":[47],"automatic":[48,55],"tracking":[49,56,107],"systems.":[50],"For":[51],"this":[52,93],"reason,":[53],"many":[54],"systems":[57,71,87],"are":[58,68],"proposed":[59,110],"research":[62],"literature.":[63],"However,":[64],"some":[65],"them":[67],"(e.g.,":[70,86],"based":[72,88],"on":[73,89],"light":[74],"detection":[75,101,151],"ranging":[77],"(LIDAR)":[78],"technology),":[79],"or":[80],"require":[81],"active":[82],"collaboration":[83],"from":[84],"wearable":[90],"devices).":[91],"In":[92],"work,":[94],"we":[95],"propose":[96],"deep":[98,146],"learning":[99,147],"object":[100,150],"approach":[102],"problem":[105],"visitors.":[108],"The":[109,138],"can":[112],"accurately":[113],"detect":[114],"specific":[115],"objects":[116],"videos,":[118],"allowing":[120],"for":[121,149],"careful":[123],"measurement":[124],"spatial":[127],"temporal":[129],"movements":[130],"visitor":[133],"scenario.":[137],"requires":[140],"only":[141],"off-the-shelf":[142],"inexpensive":[143],"devices":[144],"models":[148],"recognition.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}