{"id":"https://openalex.org/W4239661124","doi":"https://doi.org/10.1109/icpr.2004.1334535","title":"A multi-cameras 3D volumetric method for outdoor scenes: a road traffic monitoring application","display_name":"A multi-cameras 3D volumetric method for outdoor scenes: a road traffic monitoring application","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4239661124","doi":"https://doi.org/10.1109/icpr.2004.1334535"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334535","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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/A5000864567","display_name":"J. Douret","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Douret","raw_affiliation_strings":["Citilog, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Citilog, Paris, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052176960","display_name":"R. Benosman","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R. Benosman","raw_affiliation_strings":["Pierre and Marie Curie University, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pierre and Marie Curie University, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4014,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.54883721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"194","issue":null,"first_page":"334","last_page":"337 Vol.3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.756751537322998},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.745573878288269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6153289675712585},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5663977861404419},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5205743908882141},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43216753005981445},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4179896116256714},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4160098433494568},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.41075998544692993},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.27056193351745605},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1905369758605957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11941096186637878}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756751537322998},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.745573878288269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6153289675712585},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5663977861404419},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5205743908882141},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43216753005981445},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4179896116256714},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4160098433494568},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.41075998544692993},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.27056193351745605},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1905369758605957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11941096186637878},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334535","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1770284412","https://openalex.org/W1906648922","https://openalex.org/W1924453835","https://openalex.org/W1982826229","https://openalex.org/W1995756857","https://openalex.org/W2102037098","https://openalex.org/W2118002377","https://openalex.org/W2138821028","https://openalex.org/W2167667767","https://openalex.org/W2169796049","https://openalex.org/W2570617923","https://openalex.org/W3021282624","https://openalex.org/W4255438484","https://openalex.org/W6645663726","https://openalex.org/W6680495395"],"related_works":["https://openalex.org/W2010009304","https://openalex.org/W200819717","https://openalex.org/W2032269556","https://openalex.org/W1991834176","https://openalex.org/W3021694725","https://openalex.org/W2944448661","https://openalex.org/W2064421702","https://openalex.org/W4253756925","https://openalex.org/W2805523177","https://openalex.org/W2131956013"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3],"the":[4,18,25,39,43,61],"issue":[5],"of":[6,42,60],"using":[7],"multi-cameras":[8],"for":[9],"road":[10,62],"traffic":[11],"monitoring.":[12],"The":[13,64],"aim":[14],"is":[15,34,50,53],"to":[16,23,71],"remove":[17],"classic":[19],"monocular":[20],"ambiguities":[21],"and":[22,30,75],"retrieve":[24],"objects":[26],"height.":[27],"An":[28],"efficient":[29],"simple":[31],"calibration":[32],"method":[33,65],"presented.":[35,83],"It":[36,52],"relies":[37],"on":[38,55],"geometric":[40],"constraints":[41],"road.":[44],"A":[45],"high":[46],"speed":[47],"matching":[48],"procedure":[49],"introduced.":[51],"based":[54],"an":[56],"altitude":[57],"planar":[58],"decomposition":[59],"scene.":[63],"naturally":[66],"achieves":[67],"two":[68],"tasks":[69],"due":[70],"altitudes":[72],"sampling.":[73],"Match":[74],"reconstruction":[76],"become":[77],"simultaneous.":[78],"Finally,":[79],"experimental":[80],"results":[81],"are":[82]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
