{"id":"https://openalex.org/W2008240729","doi":"https://doi.org/10.1145/1900179.1900246","title":"A fast vehicle tag recognition system with video by IP camera","display_name":"A fast vehicle tag recognition system with video by IP camera","publication_year":2010,"publication_date":"2010-12-12","ids":{"openalex":"https://openalex.org/W2008240729","doi":"https://doi.org/10.1145/1900179.1900246","mag":"2008240729"},"language":"en","primary_location":{"id":"doi:10.1145/1900179.1900246","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1900179.1900246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry","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/A5048472908","display_name":"Guoliang Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093530","display_name":"City College","ror":"https://ror.org/00h90tg62","country_code":"US","type":"education","lineage":["https://openalex.org/I4210093530"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guoliang Mo","raw_affiliation_strings":["Zhejiang university city college","ZheJiang University City College"],"affiliations":[{"raw_affiliation_string":"Zhejiang university city college","institution_ids":[]},{"raw_affiliation_string":"ZheJiang University City College","institution_ids":["https://openalex.org/I4210093530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089192218","display_name":"Sanyuan Zhang","orcid":"https://orcid.org/0000-0001-8604-874X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanyuan Zhang","raw_affiliation_strings":["Zhejiang University","Zhejiang, University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang, University","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048472908"],"corresponding_institution_ids":["https://openalex.org/I4210093530"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13706951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"319","last_page":"322"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9990000128746033,"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":0.9983000159263611,"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":0.8034710884094238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6961297988891602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6305160522460938},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.589317798614502},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5554276704788208},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.5503206253051758},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4959622323513031},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45705506205558777},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.41414201259613037},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27997732162475586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8034710884094238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6961297988891602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6305160522460938},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.589317798614502},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5554276704788208},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.5503206253051758},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4959622323513031},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45705506205558777},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.41414201259613037},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27997732162475586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1900179.1900246","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1900179.1900246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G12417550","display_name":null,"funder_award_id":"Y1090597","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G1885027992","display_name":null,"funder_award_id":"2009CB320804","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1513763184","https://openalex.org/W1574125631","https://openalex.org/W2022686119","https://openalex.org/W2092576268","https://openalex.org/W2124386111","https://openalex.org/W2135512949","https://openalex.org/W2139513075","https://openalex.org/W2145621224","https://openalex.org/W2151103935","https://openalex.org/W2154791445","https://openalex.org/W2162915993","https://openalex.org/W2164877691","https://openalex.org/W2362408888"],"related_works":["https://openalex.org/W2559352488","https://openalex.org/W2964044735","https://openalex.org/W4300560548","https://openalex.org/W1996182847","https://openalex.org/W2296100921","https://openalex.org/W3216181124","https://openalex.org/W3046471831","https://openalex.org/W1991513203","https://openalex.org/W3090746252","https://openalex.org/W3178467699"],"abstract_inverted_index":{"Vehicle":[0,124],"tag":[1,29,37,46,56,88],"recognition":[2,47,57,73,134,149],"(VTR)":[3],"is":[4,117,179,199],"an":[5],"important":[6],"part":[7],"of":[8,55,105,136,141,164],"intelligent":[9],"transportation":[10],"system":[11,22,188],"(ITS)":[12],"that":[13,170,201],"has":[14,189],"many":[15],"applications.":[16],"The":[17,187],"main":[18],"parts":[19],"for":[20,44],"this":[21,166],"to":[23,67,85,119,143,155,172,181],"recognize":[24,120,156],"the":[25,36,51,72,87,96,103,121,144,148,157,162,165],"vehicle":[26,45],"tags":[27],"include":[28],"location":[30,76],"in":[31,48,65,192],"video,":[32],"character":[33,41,159,185],"extraction":[34],"from":[35],"images":[38,126],"and":[39,80,100,114,131,139,196,207],"single":[40,122],"recognition.":[42],"As":[43],"video":[49],"streams,":[50],"whole":[52],"processing":[53],"time":[54],"must":[58,127],"be":[59,128],"no":[60],"more":[61],"than":[62],"0.1":[63],"second":[64],"order":[66],"achieve":[68],"real-time":[69],"performance":[70],"with":[71,102],"system.":[74],"In":[75,147],"part,":[77,150],"templates":[78],"match":[79],"text":[81],"check":[82],"are":[83,92,153,204],"used":[84,118,154,180,191],"find":[86],"area":[89],"quickly.":[90],"Characters":[91],"then":[93,175],"segmented":[94],"using":[95],"tag's":[97,125],"geometrical":[98],"characteristic":[99],"supplementary":[101],"scan":[104],"projection":[106],"image.":[107],"Next,":[108],"a":[109],"hybrid":[110],"method":[111,178],"combining":[112],"statistical":[113,151],"structural":[115],"analysis":[116,177],"character.":[123],"skew":[129],"corrected":[130],"normalized":[132],"before":[133],"because":[135],"different":[137],"distance":[138],"direction":[140],"camera":[142],"objective":[145],"vehicles.":[146],"methods":[152,202],"input":[158],"independently.":[160],"If":[161],"output":[163],"stage":[167],"contains":[168],"characters":[169],"belong":[171],"confusion":[173],"sets,":[174],"structure":[176],"further":[182],"classify":[183],"these":[184],"images.":[186],"been":[190],"China,":[193],"South":[194],"Africa":[195],"USA.":[197],"It":[198],"verified":[200],"developed":[203],"very":[205],"robust":[206],"efficient.":[208]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}