{"id":"https://openalex.org/W2899345981","doi":"https://doi.org/10.1109/eit.2018.8500130","title":"An Extended Method of Multiple-Camera Calibration for 3D Vehicle Tracking at Intersections","display_name":"An Extended Method of Multiple-Camera Calibration for 3D Vehicle Tracking at Intersections","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2899345981","doi":"https://doi.org/10.1109/eit.2018.8500130","mag":"2899345981"},"language":"en","primary_location":{"id":"doi:10.1109/eit.2018.8500130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2018.8500130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","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/A5017612537","display_name":"Sukriti Subedi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115145","display_name":"University of Minnesota, Duluth","ror":"https://ror.org/01hy4qx27","country_code":"US","type":"education","lineage":["https://openalex.org/I4210115145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sukriti Subedi","raw_affiliation_strings":["Department of Electrical Engineering, University of Minnesota, Duluth, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Minnesota, Duluth, MN, USA","institution_ids":["https://openalex.org/I4210115145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109898844","display_name":"Hua Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115145","display_name":"University of Minnesota, Duluth","ror":"https://ror.org/01hy4qx27","country_code":"US","type":"education","lineage":["https://openalex.org/I4210115145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Tang","raw_affiliation_strings":["Department of Electrical Engineering, University of Minnesota, Duluth, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Minnesota, Duluth, MN, USA","institution_ids":["https://openalex.org/I4210115145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210115145"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"0258","last_page":"0261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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":0.9988999962806702,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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":0.9961000084877014,"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-vision","display_name":"Computer vision","score":0.7915637493133545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7521692514419556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7258551120758057},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.667812705039978},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6641613245010376},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.5340988039970398},{"id":"https://openalex.org/keywords/vanishing-point","display_name":"Vanishing point","score":0.5242700576782227},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5087311863899231},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4628879725933075},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4512433707714081},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4328967034816742},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.41757506132125854},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1847982406616211},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18302252888679504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16242685914039612}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7915637493133545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7521692514419556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7258551120758057},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.667812705039978},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6641613245010376},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.5340988039970398},{"id":"https://openalex.org/C99404194","wikidata":"https://www.wikidata.org/wiki/Q163362","display_name":"Vanishing point","level":3,"score":0.5242700576782227},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5087311863899231},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4628879725933075},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4512433707714081},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4328967034816742},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.41757506132125854},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1847982406616211},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18302252888679504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16242685914039612},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eit.2018.8500130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2018.8500130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Electro/Information Technology (EIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7400000095367432,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W565308639","https://openalex.org/W2029501421","https://openalex.org/W2071386659","https://openalex.org/W2104900571","https://openalex.org/W2112218350","https://openalex.org/W2122487083","https://openalex.org/W2142318951","https://openalex.org/W2149454580","https://openalex.org/W2156017603","https://openalex.org/W2341949230","https://openalex.org/W3023501095","https://openalex.org/W6615930278"],"related_works":["https://openalex.org/W2393869535","https://openalex.org/W2049337725","https://openalex.org/W2379465014","https://openalex.org/W2371509765","https://openalex.org/W9483417","https://openalex.org/W2107622275","https://openalex.org/W2540763125","https://openalex.org/W2110206196","https://openalex.org/W2370621620","https://openalex.org/W2378058417"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,39],"propose":[4,40],"an":[5],"extended":[6],"method":[7,44],"for":[8,13,52,100,122],"calibration":[9,35],"of":[10,36],"multiple":[11,37],"cameras":[12,92,114],"3D":[14,126],"vehicle":[15,125],"tracking":[16],"at":[17],"intersections":[18],"that":[19,115],"eventually":[20],"targets":[21],"automated":[22],"and":[23,89,124],"accurate":[24,33],"traffic":[25,65,110],"data":[26],"collection.":[27],"To":[28],"allow":[29],"simple,":[30],"efficient":[31],"yet":[32],"camera":[34,54,78],"cameras,":[38],"to":[41,69],"extend":[42],"the":[43,47,86],"based":[45,50],"on":[46],"traditional":[48],"vanishing-point":[49],"technique":[51],"individual":[53],"calibration.":[55],"First,":[56],"a":[57,72,108],"common":[58],"rectangular":[59],"road":[60,87],"pattern":[61,88],"derived":[62],"from":[63,85],"parallel":[64,83],"lanes":[66],"is":[67,79,105,120],"established":[68],"set":[70],"up":[71],"unique":[73],"world":[74],"coordinate.":[75],"Then,":[76],"each":[77],"separately":[80],"calibrated":[81],"using":[82],"lines":[84],"finally":[90],"all":[91],"are":[93],"jointly":[94],"optimized":[95],"in":[96,107],"least-squared":[97],"nonlinear":[98],"approach":[99],"minimum":[101],"projection":[102],"error.":[103],"It":[104],"evaluated":[106],"practical":[109],"scene":[111],"with":[112],"two":[113],"more":[116],"than":[117],"90%":[118],"accuracy":[119],"achieved":[121],"distance":[123],"dimension":[127],"estimation.":[128]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}