{"id":"https://openalex.org/W2316389748","doi":"https://doi.org/10.18293/dms2015-044","title":"Vehicle Type Identification Based on Car Tail Text Information","display_name":"Vehicle Type Identification Based on Car Tail Text Information","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2316389748","doi":"https://doi.org/10.18293/dms2015-044","mag":"2316389748"},"language":"en","primary_location":{"id":"doi:10.18293/dms2015-044","is_oa":false,"landing_page_url":"https://doi.org/10.18293/dms2015-044","pdf_url":null,"source":{"id":"https://openalex.org/S4386872205","display_name":"Proceedings","issn_l":"2326-3261","issn":["2326-3261"],"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":"International Conferences on Distributed Multimedia Systems","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/A5023296542","display_name":"Ruixue Yin","orcid":"https://orcid.org/0000-0002-1326-6145"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ruixue Yin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101917066","display_name":"Weibin Liu","orcid":"https://orcid.org/0000-0001-6246-0051"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibin Liu","raw_affiliation_strings":["Beijing Jiaotong University"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007723033","display_name":"Weiwei Xing","orcid":"https://orcid.org/0000-0002-6378-926X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiwei Xing","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023296542"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32485876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2015","issue":null,"first_page":"172","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9933000206947327,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.9358205795288086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6842446327209473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6790529489517212},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6281751394271851},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6014621257781982},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6002430319786072},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.544823169708252},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.543367326259613},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.5243263840675354},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.5138066411018372},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5088127255439758},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.4842471778392792},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.444240540266037},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37761712074279785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18484053015708923}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9358205795288086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6842446327209473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6790529489517212},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6281751394271851},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6014621257781982},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6002430319786072},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.544823169708252},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.543367326259613},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.5243263840675354},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.5138066411018372},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5088127255439758},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.4842471778392792},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.444240540266037},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37761712074279785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18484053015708923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18293/dms2015-044","is_oa":false,"landing_page_url":"https://doi.org/10.18293/dms2015-044","pdf_url":null,"source":{"id":"https://openalex.org/S4386872205","display_name":"Proceedings","issn_l":"2326-3261","issn":["2326-3261"],"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":"International Conferences on Distributed Multimedia Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W19720318","https://openalex.org/W22745672","https://openalex.org/W1558156353","https://openalex.org/W2007034089","https://openalex.org/W2012313888","https://openalex.org/W2012778485","https://openalex.org/W2012831311","https://openalex.org/W2014603304","https://openalex.org/W2017787659","https://openalex.org/W2024121930","https://openalex.org/W2057153941","https://openalex.org/W2085261163","https://openalex.org/W2096077837","https://openalex.org/W2102608210","https://openalex.org/W2103497972","https://openalex.org/W2104241941","https://openalex.org/W2110177572","https://openalex.org/W2111308925","https://openalex.org/W2124386111","https://openalex.org/W2139323304","https://openalex.org/W2151103935","https://openalex.org/W2159498975","https://openalex.org/W2294600385"],"related_works":["https://openalex.org/W4206457185","https://openalex.org/W2163812102","https://openalex.org/W2060133567","https://openalex.org/W2077501173","https://openalex.org/W2791375867","https://openalex.org/W2761722367","https://openalex.org/W3080934496","https://openalex.org/W2356336185","https://openalex.org/W2089698752","https://openalex.org/W4308703308"],"abstract_inverted_index":{"Based":[0],"on":[1,71],"feature":[2],"matching":[3,99,165],"of":[4,43,54,64,150],"car":[5,34,160],"tail":[6,35,161],"text":[7,36,79,106,162],"information,":[8,75],"a":[9,40,55,78,96,139],"novel":[10],"approach":[11],"for":[12],"vehicle":[13,121,151,157],"identification":[14],"is":[15,39,101],"proposed":[16],"in":[17,130,143],"this":[18],"paper.":[19],"Our":[20],"method":[21,100],"creatively":[22],"implements":[23],"Scale-Invariant":[24],"Feature":[25,155],"Transform":[26],"(SIFT)":[27],"to":[28,103,112,118,125],"extract":[29],"distinctive":[30],"invariant":[31],"features":[32],"from":[33],"sub-images,":[37],"which":[38,83],"new":[41],"application":[42],"SIFT.":[44],"In":[45],"our":[46],"approach,":[47],"firstly,":[48],"the":[49,52,62,72,105,115,119,126,131,148],"coordinate":[50],"and":[51,67,92,146],"content":[53],"vehicle\u2019s":[56],"license":[57,128],"plate":[58,65,73,127],"are":[59,110],"presented":[60],"during":[61],"process":[63],"localization":[66,81,91],"recognition.":[68],"Secondly,":[69],"based":[70],"location":[74],"we":[76,109],"apply":[77],"information":[80,133],"procedure":[82],"could":[84],"be":[85],"divided":[86],"into":[87],"two":[88],"processes,":[89],"robust":[90],"accurate":[93],"localization.":[94],"Then,":[95],"SIFT-based":[97],"template":[98],"provided":[102],"recognize":[104],"information.":[107],"Finally,":[108],"able":[111],"determine":[113],"whether":[114],"result":[116],"conforms":[117],"known":[120],"type":[122,152,158],"captured":[123],"according":[124],"contents":[129],"vehicles":[132],"file.":[134],"The":[135],"experimental":[136],"results":[137],"show":[138],"high":[140],"recognition":[141],"rate":[142],"acceptable":[144],"time":[145],"prove":[147],"availability":[149],"identification.":[153],"Keywords-Scale-Invariant":[154],"Transform;":[156],"identification;":[159],"information;":[163],"image":[164]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}