{"id":"https://openalex.org/W2883276366","doi":"https://doi.org/10.1109/cvprw.2018.00018","title":"Graph@FIT Submission to the NVIDIA AI City Challenge 2018","display_name":"Graph@FIT Submission to the NVIDIA AI City Challenge 2018","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2883276366","doi":"https://doi.org/10.1109/cvprw.2018.00018","mag":"2883276366"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2018.00018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2018.00018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","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/A5022131555","display_name":"Jakub Sochor","orcid":"https://orcid.org/0000-0002-1604-4097"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Jakub Sochor","raw_affiliation_strings":["Graph @FIT, Brno University of Technology, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Graph @FIT, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087267162","display_name":"Jakub \u0160pa\u0148hel","orcid":"https://orcid.org/0000-0003-2980-5614"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jakub Spanhel","raw_affiliation_strings":["Graph @FIT, Brno University of Technology, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Graph @FIT, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073100568","display_name":"Roman Jur\u00e1nek","orcid":"https://orcid.org/0000-0003-0589-0172"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Roman Juranek","raw_affiliation_strings":["Graph @FIT, Brno University of Technology, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Graph @FIT, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074936579","display_name":"Petr Dobe\u0161","orcid":"https://orcid.org/0000-0001-7050-9847"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Petr Dobes","raw_affiliation_strings":["Graph @FIT, Brno University of Technology, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Graph @FIT, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053700968","display_name":"Adam Herout","orcid":"https://orcid.org/0000-0003-2143-9314"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Adam Herout","raw_affiliation_strings":["Graph @FIT, Brno University of Technology, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Graph @FIT, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022131555"],"corresponding_institution_ids":["https://openalex.org/I60587646"],"apc_list":null,"apc_paid":null,"fwci":0.8228,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78288173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"pp","issue":null,"first_page":"77","last_page":"777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8293638229370117},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.7423058748245239},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7305698394775391},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6378599405288696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6032660007476807},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5936660766601562},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5836356282234192},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5485223531723022},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5145854353904724},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.503009021282196},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47390639781951904},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.46494877338409424},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.44413551688194275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41473034024238586},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15677618980407715},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11624473333358765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08259159326553345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8293638229370117},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7423058748245239},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7305698394775391},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6378599405288696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6032660007476807},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5936660766601562},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5836356282234192},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5485223531723022},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5145854353904724},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.503009021282196},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47390639781951904},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.46494877338409424},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.44413551688194275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41473034024238586},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15677618980407715},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11624473333358765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08259159326553345},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/cvprw.2018.00018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2018.00018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8500000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320315323","display_name":"Technology Agency of the Czech Republic","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1493030347","https://openalex.org/W1958236864","https://openalex.org/W1971950051","https://openalex.org/W1996735906","https://openalex.org/W2012795032","https://openalex.org/W2016698498","https://openalex.org/W2056341306","https://openalex.org/W2093273191","https://openalex.org/W2100087039","https://openalex.org/W2102608210","https://openalex.org/W2105934661","https://openalex.org/W2107083280","https://openalex.org/W2120820227","https://openalex.org/W2122487083","https://openalex.org/W2138011018","https://openalex.org/W2141896189","https://openalex.org/W2145908460","https://openalex.org/W2166045900","https://openalex.org/W2194775991","https://openalex.org/W2204105831","https://openalex.org/W2300687442","https://openalex.org/W2470322391","https://openalex.org/W2473571000","https://openalex.org/W2475242006","https://openalex.org/W2495961871","https://openalex.org/W2512434173","https://openalex.org/W2519904008","https://openalex.org/W2524986418","https://openalex.org/W2557962655","https://openalex.org/W2590234360","https://openalex.org/W2592236344","https://openalex.org/W2613718673","https://openalex.org/W2734501611","https://openalex.org/W2750699122","https://openalex.org/W2765100849","https://openalex.org/W2765877758","https://openalex.org/W2776879428","https://openalex.org/W2779954854","https://openalex.org/W2922254552","https://openalex.org/W2963977416","https://openalex.org/W2964121744","https://openalex.org/W2964350391","https://openalex.org/W2989618398","https://openalex.org/W3023501095","https://openalex.org/W6620707391","https://openalex.org/W6694260854","https://openalex.org/W6725708510","https://openalex.org/W6726373078","https://openalex.org/W6740273760"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"In":[0],"our":[1],"submission":[2],"to":[3,75,98,114],"the":[4,51,57,60,63,67,71,89,105,116],"NVIDIA":[5],"AI":[6],"City":[7],"Challenge,":[8],"we":[9,22,42,55,109],"address":[10],"speed":[11,52,58],"measurement":[12,53],"of":[13,62,82,88],"vehicles":[14,36],"and":[15,34,41],"vehicle":[16,76],"re-identification.":[17],"For":[18,50],"both":[19],"these":[20],"tasks,":[21],"use":[23],"a":[24,38,100,111],"calibration":[25],"method":[26],"based":[27,79],"on":[28,80],"extracted":[29],"vanishing":[30],"points.":[31],"We":[32],"detect":[33],"track":[35],"by":[37],"CNN-based":[39],"detector":[40],"construct":[43],"3D":[44,68],"bounding":[45,64],"boxes":[46],"for":[47,104],"all":[48],"vehicles.":[49,90],"task,":[54],"estimate":[56],"from":[59,85],"movement":[61],"box":[65],"in":[66,95],"space":[69],"using":[70],"calibration.":[72],"Our":[73],"approach":[74],"re-identification":[77,117],"is":[78],"extraction":[81],"visual":[83],"features":[84,92],"\"unpacked\"":[86],"images":[87],"The":[91],"are":[93],"aggregated":[94],"temporal":[96],"domain":[97],"obtain":[99],"single":[101],"feature":[102],"descriptor":[103],"whole":[106],"track.":[107],"Furthermore,":[108],"utilize":[110],"validation":[112],"network":[113],"improve":[115],"accuracy.":[118]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
