{"id":"https://openalex.org/W4205724634","doi":"https://doi.org/10.1109/bigdata52589.2021.9671751","title":"Citywide reconstruction of cross-sectional traffic flow from moving camera videos","display_name":"Citywide reconstruction of cross-sectional traffic flow from moving camera videos","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4205724634","doi":"https://doi.org/10.1109/bigdata52589.2021.9671751"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671751","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","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/A5022034850","display_name":"Ashutosh Kumar","orcid":"https://orcid.org/0000-0001-8663-5370"},"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":true,"raw_author_name":"Ashutosh Kumar","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014870857","display_name":"Takehiro Kashiyama","orcid":"https://orcid.org/0000-0002-3097-2877"},"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":"Takehiro Kashiyama","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019754446","display_name":"Hiroya Maeda","orcid":"https://orcid.org/0000-0003-2789-4019"},"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":"Hiroya Maeda","raw_affiliation_strings":["Institute of Industrial Science, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"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":["Center for Spatial Information Science, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022034850"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.8495,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83827765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1670","last_page":"1678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.6563522219657898},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6192749738693237},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5939387083053589},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5485672354698181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5126635432243347},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4751943349838257},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4545747637748718},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4285958409309387},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37723368406295776},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2125881314277649},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.17092490196228027},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.13548776507377625},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10908952355384827},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09987026453018188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563522219657898},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6192749738693237},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5939387083053589},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5485672354698181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5126635432243347},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4751943349838257},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4545747637748718},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4285958409309387},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37723368406295776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2125881314277649},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.17092490196228027},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.13548776507377625},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10908952355384827},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09987026453018188}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671751","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7699999809265137,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1516892856","https://openalex.org/W1521019969","https://openalex.org/W1824657313","https://openalex.org/W1861492603","https://openalex.org/W1989750313","https://openalex.org/W2033593649","https://openalex.org/W2037227137","https://openalex.org/W2059128538","https://openalex.org/W2108598243","https://openalex.org/W2115579991","https://openalex.org/W2117228865","https://openalex.org/W2118067965","https://openalex.org/W2145938889","https://openalex.org/W2181616869","https://openalex.org/W2194775991","https://openalex.org/W2252355370","https://openalex.org/W2291627510","https://openalex.org/W2534578893","https://openalex.org/W2565639579","https://openalex.org/W2603203130","https://openalex.org/W2607987475","https://openalex.org/W2751547291","https://openalex.org/W2919115771","https://openalex.org/W2963150697","https://openalex.org/W2963499661","https://openalex.org/W2969937244","https://openalex.org/W2997192890","https://openalex.org/W3003490096","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W3035564946","https://openalex.org/W3091369929","https://openalex.org/W3104218139","https://openalex.org/W3106250896","https://openalex.org/W3123073509","https://openalex.org/W3157685993","https://openalex.org/W3162832025","https://openalex.org/W3164612304","https://openalex.org/W3180134609","https://openalex.org/W4295331127","https://openalex.org/W6620707391","https://openalex.org/W6630679937","https://openalex.org/W6638373262","https://openalex.org/W6639102338","https://openalex.org/W6681158678","https://openalex.org/W6685764666","https://openalex.org/W6696672603","https://openalex.org/W6726974765","https://openalex.org/W6766837696","https://openalex.org/W6777046832","https://openalex.org/W6785652829","https://openalex.org/W6796223860"],"related_works":["https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W253106158","https://openalex.org/W2384744344","https://openalex.org/W1799694159","https://openalex.org/W2393169196","https://openalex.org/W2366610330","https://openalex.org/W1550496571","https://openalex.org/W2558515415","https://openalex.org/W1900011983"],"abstract_inverted_index":{"Analysis":[0],"of":[1,72,97,116,128,157,168],"traffic":[2,30,43,139,155,191],"fl":[3,31,44,140],"ow":[4,32,45],"pa":[5],"rameters":[6],"is":[7],"ne":[8],"cessary":[9],"for":[10,198],"Intelligent":[11],"Transportation":[12],"Systems":[13],"(ITS)":[14],"and":[15,76,93,103,107,113,131,163,189,200],"autonomous":[16,201],"driving":[17,202],"research.":[18,203],"Deep":[19],"learning-based":[20],"vehicle":[21,63,88,119],"detection":[22,64,82,89],"techniques":[23],"have":[24],"been":[25],"widely":[26],"used":[27,132],"in":[28,91,133,180,183],"reconstructing":[29],"parameters":[33],"from":[34,56],"video":[35],"images.":[36],"This":[37],"research":[38],"proposes":[39],"a":[40,62,78,171],"novel":[41],"cross-sectional":[42,138,190],"es":[46,152],"timation":[47],"al":[48,149],"gorithm":[49,150],"to":[50,123,136,151],"re":[51],"construct":[52],"tr":[53],"affic":[54],"volume":[55],"moving":[57],"camera":[58],"videos.":[59],"We":[60,84,142],"develop":[61],"dataset":[65,188],"with":[66,74],"more":[67],"than":[68],"one":[69],"million":[70],"annotations":[71],"vehicles":[73,99,130],"orientation":[75],"train":[77],"YOLOv4":[79],"based":[80],"object":[81],"network.":[83],"leverage":[85],"the":[86,95,117,125,134,154],"accurate":[87],"model":[90],"tracking":[92],"estimating":[94],"distance":[96],"detected":[98,129],"using":[100],"Simple":[101],"Online":[102],"Realtime":[104],"Tracking":[105],"(SORT)":[106],"photogrammetry":[108],"techniques.":[109],"The":[110,185],"estimated":[111],"distances":[112],"forward":[114],"bearing":[115],"observing":[118],"are":[120],"then":[121],"utilized":[122],"calculate":[124],"GPS":[126],"position":[127],"algorithm":[135,194],"estimate":[137],"ow.":[141],"ut":[143],"ilize":[144],"th":[145],"e":[146],"pr":[147],"oposed":[148],"timate":[153],"flow":[156,192],"580":[158],"OpenStreetMap":[159],"(OSM)":[160],"road":[161],"links":[162],"achieve":[164],"an":[165],"average":[166],"accuracy":[167],"84.30%":[169],"verified":[170],"gainst":[172],"1":[173,174],"t":[175],"raffic":[176],"police":[177],"sensor":[178],"data":[179],"Susono":[181],"city":[182],"Japan.":[184],"proposed":[186],"large-scale":[187],"estimation":[193],"open":[195],"new":[196],"avenues":[197],"ITS":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9}],"updated_date":"2025-12-30T23:08:21.542490","created_date":"2025-10-10T00:00:00"}
