{"id":"https://openalex.org/W2761884045","doi":"https://doi.org/10.1504/ijcvr.2018.10008242","title":"Car manufacturer and model recognition based on scale invariant feature transform","display_name":"Car manufacturer and model recognition based on scale invariant feature transform","publication_year":2017,"publication_date":"2017-10-04","ids":{"openalex":"https://openalex.org/W2761884045","doi":"https://doi.org/10.1504/ijcvr.2018.10008242","mag":"2761884045"},"language":"en","primary_location":{"id":"doi:10.1504/ijcvr.2018.10008242","is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijcvr.2018.10008242","pdf_url":"https://doi.org/10.1504/ijcvr.2018.10008242","source":{"id":"https://openalex.org/S11968101","display_name":"International Journal of Computational Vision and Robotics","issn_l":"1752-9131","issn":["1752-9131","1752-914X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Vision and Robotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.1504/ijcvr.2018.10008242","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071398995","display_name":"Yongbin Gao","orcid":"https://orcid.org/0000-0001-9930-0502"},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yongbin Gao","raw_affiliation_strings":["Division of Computer Science and Engineering, Chonbuk National University, 567 Baekje-Daero, Deokjin-Gu, Jeonju 54596, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computer Science and Engineering, Chonbuk National University, 567 Baekje-Daero, Deokjin-Gu, Jeonju 54596, Republic of Korea","institution_ids":["https://openalex.org/I80611190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716029","display_name":"Hyo Jong Lee","orcid":"https://orcid.org/0000-0003-2581-5268"},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyo Jong Lee","raw_affiliation_strings":["Division of Computer Science and Engineering, Center for Advanced Image and Information Technology, Chonbuk National University, 567 Baekje-Daero, Deokjin-Gu, Jeonju 54596, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computer Science and Engineering, Center for Advanced Image and Information Technology, Chonbuk National University, 567 Baekje-Daero, Deokjin-Gu, Jeonju 54596, Republic of Korea","institution_ids":["https://openalex.org/I80611190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80611190"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19825492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"8","issue":"1","first_page":"32","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9988999962806702,"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":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9975000023841858,"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":0.995199978351593,"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":0.7930643558502197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5487700700759888},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.49250754714012146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4822619557380676},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.4715680480003357},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4675881564617157},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.45856180787086487},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3906070590019226},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.22920769453048706},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1084490418434143},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08999958634376526},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08843281865119934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7930643558502197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5487700700759888},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.49250754714012146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4822619557380676},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.4715680480003357},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4675881564617157},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.45856180787086487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3906070590019226},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.22920769453048706},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1084490418434143},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08999958634376526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08843281865119934},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijcvr.2018.10008242","is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijcvr.2018.10008242","pdf_url":"https://doi.org/10.1504/ijcvr.2018.10008242","source":{"id":"https://openalex.org/S11968101","display_name":"International Journal of Computational Vision and Robotics","issn_l":"1752-9131","issn":["1752-9131","1752-914X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Vision and Robotics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1504/ijcvr.2018.10008242","is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijcvr.2018.10008242","pdf_url":"https://doi.org/10.1504/ijcvr.2018.10008242","source":{"id":"https://openalex.org/S11968101","display_name":"International Journal of Computational Vision and Robotics","issn_l":"1752-9131","issn":["1752-9131","1752-914X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Vision and Robotics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1126102950","https://openalex.org/W1528417023","https://openalex.org/W2012313888","https://openalex.org/W2052094314","https://openalex.org/W2096077837","https://openalex.org/W2100138625","https://openalex.org/W2104241941","https://openalex.org/W2105238070","https://openalex.org/W2105272831","https://openalex.org/W2111351552","https://openalex.org/W2117072267","https://openalex.org/W2119605622","https://openalex.org/W2128755492","https://openalex.org/W2135737723","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2155893582","https://openalex.org/W2163808566","https://openalex.org/W2169915211","https://openalex.org/W2248575476"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W1966831329","https://openalex.org/W2097033632","https://openalex.org/W2021783512","https://openalex.org/W2021670453","https://openalex.org/W2334047832"],"abstract_inverted_index":{"Vehicle":[0],"analysis":[1],"involves":[2],"licence":[3,29],"plate":[4,30],"recognition,":[5,8],"vehicle":[6],"type":[7],"and":[9,12,17,50],"car":[10,48,65,82,97],"manufacturer":[11,16,49],"model":[13,18,52],"recognition.":[14],"Car":[15],"recognition":[19,31,47,111],"plays":[20],"an":[21],"important":[22],"role":[23],"in":[24],"providing":[25],"supplementary":[26],"information":[27],"to":[28,46,75,94],"for":[32],"the":[33,69,77],"unique":[34],"identification":[35],"of":[36,80],"a":[37,44,63,81,84,96],"car.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"propose":[43],"framework":[45,108],"its":[51],"based":[53,98],"on":[54,99],"scale":[55],"invariant":[56],"feature":[57],"transform":[58],"(SIFT).":[59],"We":[60],"first":[61],"detect":[62,76],"moving":[64],"using":[66],"frame":[67],"differences;":[68],"resultant":[70],"binary":[71],"image":[72],"is":[73,91],"used":[74,93],"frontal":[78,89],"view":[79,90],"by":[83],"symmetry":[85],"filter.":[86],"The":[87],"detected":[88],"then":[92],"identify":[95],"SIFT":[100],"algorithm.":[101],"Experimental":[102],"results":[103],"show":[104],"that":[105],"our":[106],"proposed":[107],"achieves":[109],"favourable":[110],"accuracy.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}