{"id":"https://openalex.org/W2981965970","doi":"https://doi.org/10.1145/3359427.3361916","title":"Dataset","display_name":"Dataset","publication_year":2019,"publication_date":"2019-10-21","ids":{"openalex":"https://openalex.org/W2981965970","doi":"https://doi.org/10.1145/3359427.3361916","mag":"2981965970"},"language":"en","primary_location":{"id":"doi:10.1145/3359427.3361916","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3359427.3361916","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3359427.3361916","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Data Acquisition To Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3359427.3361916","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091318795","display_name":"Fabricio Flores","orcid":"https://orcid.org/0000-0001-9269-2291"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fabricio Flores","raw_affiliation_strings":["Carnegie Mellon University, Machine Learning Department"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Machine Learning Department","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043367646","display_name":"Sirajum Munir","orcid":"https://orcid.org/0000-0003-0624-2580"},"institutions":[{"id":"https://openalex.org/I4210127226","display_name":"Robert Bosch (Slovenia)","ror":"https://ror.org/03248dr08","country_code":"SI","type":"company","lineage":["https://openalex.org/I4210127226","https://openalex.org/I889804353"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Sirajum Munir","raw_affiliation_strings":["Bosch Research & Technology Center, Secure and Intelligent IoT Department"],"affiliations":[{"raw_affiliation_string":"Bosch Research & Technology Center, Secure and Intelligent IoT Department","institution_ids":["https://openalex.org/I4210127226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005453560","display_name":"Mat\u00edas Quintana","orcid":"https://orcid.org/0000-0002-0486-221X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Matias Quintana","raw_affiliation_strings":["National University of Singapore, School of Design and Environment"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, School of Design and Environment","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008313106","display_name":"Anand Krishnan Prakash","orcid":"https://orcid.org/0000-0002-3694-3225"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand Krishnan Prakash","raw_affiliation_strings":["Lawrence Berkeley National Laboratory"],"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064458775","display_name":"Mario Berg\u00e9s","orcid":"https://orcid.org/0000-0003-2948-9236"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mario Berg\u00e9s","raw_affiliation_strings":["Carnegie Mellon University, Civil & Environmental Engineering"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Civil & Environmental Engineering","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091318795"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.5106,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70067459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"9"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/occupancy","display_name":"Occupancy","score":0.905092716217041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7500689029693604},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6970874071121216},{"id":"https://openalex.org/keywords/ceiling","display_name":"Ceiling (cloud)","score":0.6386733055114746},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5092121362686157},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4252403974533081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33688515424728394},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11213880777359009},{"id":"https://openalex.org/keywords/architectural-engineering","display_name":"Architectural engineering","score":0.08623647689819336}],"concepts":[{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.905092716217041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7500689029693604},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6970874071121216},{"id":"https://openalex.org/C2777489069","wikidata":"https://www.wikidata.org/wiki/Q1589822","display_name":"Ceiling (cloud)","level":2,"score":0.6386733055114746},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5092121362686157},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4252403974533081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33688515424728394},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11213880777359009},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.08623647689819336},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3359427.3361916","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3359427.3361916","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3359427.3361916","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Data Acquisition To Analysis","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1577344","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1577344","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"doi:10.1145/3359427.3361916","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3359427.3361916","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3359427.3361916","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Data Acquisition To Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3749867336","display_name":null,"funder_award_id":"EE0007682","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G3946817105","display_name":null,"funder_award_id":"DE-EE0007682","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320322526","display_name":"Secretar\u00eda de Educaci\u00f3n Superior, Ciencia, Tecnolog\u00eda e Innovaci\u00f3n","ror":"https://ror.org/056c6e777"},{"id":"https://openalex.org/F4320332360","display_name":"Office of Energy Efficiency and Renewable Energy","ror":"https://ror.org/02xznz413"},{"id":"https://openalex.org/F4320337707","display_name":"Building Technologies Office","ror":null},{"id":"https://openalex.org/F4320337919","display_name":"Office of Energy Efficiency","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2981965970.pdf","grobid_xml":"https://content.openalex.org/works/W2981965970.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2023066921","https://openalex.org/W2060280062","https://openalex.org/W2072028093","https://openalex.org/W2607006112","https://openalex.org/W2625278369","https://openalex.org/W2786399107","https://openalex.org/W2797672018","https://openalex.org/W2798024614","https://openalex.org/W2798936443","https://openalex.org/W2942467756","https://openalex.org/W2949860773","https://openalex.org/W4285064419","https://openalex.org/W7006516659"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W2105697914","https://openalex.org/W3093197249","https://openalex.org/W1968324288","https://openalex.org/W1540010871","https://openalex.org/W3023979140","https://openalex.org/W2904068067","https://openalex.org/W1565491139","https://openalex.org/W2132580438","https://openalex.org/W2157374415"],"abstract_inverted_index":{"Occupancy":[0],"detection,":[1],"tracking,":[2],"and":[3,17,76,87,106],"estimation":[4],"has":[5],"a":[6,30,38,80],"wide":[7],"range":[8],"of":[9,19,82,92],"applications":[10],"including":[11],"improving":[12],"building":[13],"energy":[14],"efficiency,":[15],"safety,":[16],"security":[18],"the":[20,55,58,108],"occupants.":[21],"As":[22],"depth":[23,48,93],"sensors":[24],"are":[25,45],"getting":[26],"cheaper,":[27],"they":[28,50],"offer":[29],"viable":[31],"solution":[32],"to":[33,62],"estimate":[34,63],"occupancy":[35],"accurately":[36],"in":[37,57,72,85],"non-privacy":[39],"invasive":[40],"manner.":[41],"Even":[42],"though":[43],"there":[44],"publicly":[46],"available":[47],"datasets,":[49],"do":[51],"not":[52],"consider":[53],"placing":[54],"sensor":[56],"ceiling":[59],"looking":[60],"downwards":[61],"occupancy.":[64],"We":[65,95],"deployed":[66],"four":[67,73,83],"Kinect":[68],"for":[69,79],"XBOX":[70],"One":[71],"CMU":[74],"classrooms":[75],"conference":[77],"rooms":[78],"period":[81],"weeks":[84],"2017":[86],"collected":[88],"over":[89],"6":[90],"TB":[91],"data.":[94],"annotate":[96],"this":[97],"huge":[98],"dataset":[99],"by":[100],"labelling":[101],"bounding":[102],"boxes":[103],"around":[104],"occupants":[105],"release":[107],"annotated":[109],"dataset.":[110]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2019-11-01T00:00:00"}