{"id":"https://openalex.org/W2797798291","doi":"https://doi.org/10.1145/3152341.3152349","title":"Predicting Indoor Crowd Density using Column-Structured Deep Neural Network","display_name":"Predicting Indoor Crowd Density using Column-Structured Deep Neural Network","publication_year":2017,"publication_date":"2017-11-07","ids":{"openalex":"https://openalex.org/W2797798291","doi":"https://doi.org/10.1145/3152341.3152349","mag":"2797798291"},"language":"en","primary_location":{"id":"doi:10.1145/3152341.3152349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3152341.3152349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility","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/A5034166952","display_name":"Akihito Sudo","orcid":null},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihito Sudo","raw_affiliation_strings":["Shizuoko University, Shizuoka-Shi, Shizuoka-Ken, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shizuoko University, Shizuoka-Shi, Shizuoka-Ken, Japan","institution_ids":["https://openalex.org/I1298590031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075833644","display_name":"Teck-Hou Teng","orcid":"https://orcid.org/0000-0001-6306-2338"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Teck-Hou Teng","raw_affiliation_strings":["Singapore Management University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015466370","display_name":"Hoong Chuin Lau","orcid":"https://orcid.org/0000-0002-5326-411X"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hoong Chuin Lau","raw_affiliation_strings":["Singapore Management University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024842056","display_name":"Yoshihide Sekimoto","orcid":"https://orcid.org/0000-0003-0305-7056"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshihide Sekimoto","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.23160872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9987000226974487,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9987000226974487,"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/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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162203788757324},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6860051155090332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6720439791679382},{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.5772498250007629},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5545454025268555},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5485920310020447},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5391403436660767},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5299602150917053},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.509769856929779},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.478948175907135},{"id":"https://openalex.org/keywords/visitor-pattern","display_name":"Visitor pattern","score":0.4788953363895416},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4406229853630066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3385690450668335},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13753077387809753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10676157474517822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162203788757324},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6860051155090332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6720439791679382},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.5772498250007629},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5545454025268555},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5485920310020447},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5391403436660767},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5299602150917053},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.509769856929779},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.478948175907135},{"id":"https://openalex.org/C48947383","wikidata":"https://www.wikidata.org/wiki/Q830719","display_name":"Visitor pattern","level":2,"score":0.4788953363895416},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4406229853630066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3385690450668335},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13753077387809753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10676157474517822},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3152341.3152349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3152341.3152349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility","raw_type":"proceedings-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-5385","is_oa":false,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=5385&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1145/3152341.3152349","raw_type":"Conference Proceeding Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321879","display_name":"Fujitsu","ror":"https://ror.org/038e2g226"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1997006169","https://openalex.org/W2020463883","https://openalex.org/W2025653905","https://openalex.org/W2028292253","https://openalex.org/W2058907003","https://openalex.org/W2066099897","https://openalex.org/W2086663066","https://openalex.org/W2146502635","https://openalex.org/W2171602483","https://openalex.org/W2514654788","https://openalex.org/W2914584698","https://openalex.org/W2997591727"],"related_works":["https://openalex.org/W2389484663","https://openalex.org/W100279264","https://openalex.org/W2962094963","https://openalex.org/W3035526107","https://openalex.org/W3210442065","https://openalex.org/W2263713325","https://openalex.org/W3043002835","https://openalex.org/W2324278002","https://openalex.org/W4308842449","https://openalex.org/W1915061844"],"abstract_inverted_index":{"This":[0],"work":[1],"proposes":[2],"a":[3,32,64],"deep":[4,12],"neural":[5,13],"network":[6,14],"approach":[7],"known":[8],"as":[9,44,77,85,121],"the":[10,70,92,101,107,122],"column-structured":[11],"(COL-DNN-R)":[15],"for":[16,55,68],"predicting":[17,69],"crowd":[18,45,71],"density":[19],"in":[20],"an":[21],"indoor":[22],"environment":[23],"using":[24,113,119],"historical":[25],"Wi-Fi":[26],"traces":[27],"of":[28,94],"individual":[29],"visitors.":[30],"With":[31],"structure":[33,99],"designed":[34],"to":[35,90],"minimize":[36],"feature":[37,95],"engineering,":[38],"COL-DNN":[39,117],"accepts":[40],"raw":[41],"features":[42,60,114],"such":[43,76],"density,":[46],"opening":[47],"and":[48,51,80,97,118],"closing":[49],"hours":[50],"peak":[52],"visitor":[53],"counts":[54],"extracting":[56],"features.":[57],"The":[58],"extracted":[59,115],"are":[61,88],"used":[62,84],"by":[63,116],"regression":[65,74,123],"model":[66,98],"R":[67,126],"densities.":[72],"Standard":[73],"models":[75],"MLP,":[78],"RF":[79],"SVM":[81],"can":[82],"be":[83],"R.":[86],"Experiments":[87],"performed":[89],"investigate":[91],"effect":[93],"representation":[96],"on":[100],"prediction":[102,109],"accuracy.":[103],"Experiment":[104],"results":[105],"show":[106],"best":[108],"accuracy":[110],"is":[111],"obtained":[112],"MLP":[120],"model,":[124],"i.e.,":[125],"=":[127],"MLP.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}