{"id":"https://openalex.org/W4285410084","doi":"https://doi.org/10.1145/3532213.3532267","title":"Semantic-Based Deep Learning Algorithm for Vehicle Re-identification","display_name":"Semantic-Based Deep Learning Algorithm for Vehicle Re-identification","publication_year":2022,"publication_date":"2022-03-18","ids":{"openalex":"https://openalex.org/W4285410084","doi":"https://doi.org/10.1145/3532213.3532267"},"language":"en","primary_location":{"id":"doi:10.1145/3532213.3532267","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computing and Artificial Intelligence","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/A5110666778","display_name":"Xinlei Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145005","display_name":"State Key Laboratory of Vehicle NVH and Safety Technology","ror":"https://ror.org/04e6h1p91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145005"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinlei Wei","raw_affiliation_strings":["Key Laboratory of Operation Safety Technology on Transport Vehicles, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Operation Safety Technology on Transport Vehicles, China","institution_ids":["https://openalex.org/I4210145005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029477870","display_name":"Yexuan Zhu","orcid":"https://orcid.org/0000-0003-4309-8725"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yexuan Zhu","raw_affiliation_strings":["Tianjin Normal University, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Normal University, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385097","display_name":"Luyao Wang","orcid":"https://orcid.org/0000-0002-3550-4095"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyao Wang","raw_affiliation_strings":["Tianjin Normal University, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Normal University, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103324608","display_name":"Chengrui Li","orcid":"https://orcid.org/0000-0001-5947-2393"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengrui Li","raw_affiliation_strings":["Tianjin Polytechnic University, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Polytechnic University, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028623085","display_name":"Jia Guo","orcid":"https://orcid.org/0000-0002-0709-261X"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Guo","raw_affiliation_strings":["Tianjin Normal University, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Normal University, China","institution_ids":["https://openalex.org/I15062923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110666778"],"corresponding_institution_ids":["https://openalex.org/I4210145005"],"apc_list":null,"apc_paid":null,"fwci":0.11,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43589744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"363","last_page":"367"},"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":0.9973000288009644,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9879000186920166,"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/license","display_name":"License","score":0.7457844018936157},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7210144400596619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7106382846832275},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6910054087638855},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6313468217849731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5841298699378967},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5388914942741394},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49350297451019287},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4625086188316345},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.42887941002845764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4229735732078552},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38444623351097107},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36794760823249817},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34228700399398804},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18310308456420898},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.10298150777816772}],"concepts":[{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.7457844018936157},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7210144400596619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106382846832275},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6910054087638855},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6313468217849731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5841298699378967},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5388914942741394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49350297451019287},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4625086188316345},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.42887941002845764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4229735732078552},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38444623351097107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36794760823249817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34228700399398804},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18310308456420898},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.10298150777816772},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3532213.3532267","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6899999976158142,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2309015593","https://openalex.org/W2470322391","https://openalex.org/W2575354312","https://openalex.org/W2756012011","https://openalex.org/W2776879428","https://openalex.org/W2779954854","https://openalex.org/W2789546350","https://openalex.org/W2799251491","https://openalex.org/W2919317477","https://openalex.org/W2924114011","https://openalex.org/W2955854238","https://openalex.org/W2959121057","https://openalex.org/W2963150697","https://openalex.org/W4234552385"],"related_works":["https://openalex.org/W2348931365","https://openalex.org/W2364155688","https://openalex.org/W2046522763","https://openalex.org/W2366916257","https://openalex.org/W2375847997","https://openalex.org/W2072836406","https://openalex.org/W2391772185","https://openalex.org/W2061641547","https://openalex.org/W4386420450","https://openalex.org/W2355099127"],"abstract_inverted_index":{"Re-identification":[0],"of":[1,17,41,73,89,99,128,136,159,187],"vehicles":[2,19,42,81,116],"is":[3,20,43,93,104,112,185],"very":[4],"important":[5],"in":[6,25],"traffic":[7],"safety,":[8],"intelligent":[9],"transportation,":[10],"and":[11,64,76,95,132,163],"smart":[12],"cities.":[13],"The":[14,177],"traditional":[15],"method":[16,58],"identifying":[18],"through":[21],"license":[22,29,48],"number.":[23,49],"However,":[24],"some":[26],"cases,":[27],"the":[28,69,74,86,90,96,100,108,118,124,129,133,147,153,156,182],"number":[30],"may":[31],"be":[32],"blocked,":[33],"damaged,":[34],"or":[35,120],"fake.":[36],"In":[37,50],"this":[38,51],"case,":[39],"re-identification":[40,57],"a":[44,55,142],"difficult":[45],"challenge":[46],"without":[47],"article,":[52],"we":[53,169],"propose":[54],"vehicle":[56,61,75,91,101,130,161,166],"based":[59,106],"on":[60,107,172],"semantic":[62,87,102,137],"information":[63,88,103,138],"deep":[65],"learning.":[66],"First,":[67],"extract":[68],"overall":[70,125],"feature":[71,126,134,144,149,157],"value":[72,98,127,135,150,158],"use":[77],"it":[78],"to":[79,114,151,155],"identify":[80,115],"with":[82,117],"different":[83,174],"shapes.":[84],"Secondly,":[85],"image":[92,131],"perceived,":[94],"characteristic":[97],"extracted":[105],"above":[109],"results,":[110],"which":[111],"used":[113],"same":[119],"similar":[121],"appearance.":[122],"Then":[123],"are":[139],"fused":[140],"into":[141],"comprehensive":[143],"value.":[145],"Use":[146],"generated":[148],"calculate":[152],"distance":[154],"other":[160],"images,":[162],"re-identify":[164],"massive":[165],"images.":[167],"Finally,":[168],"conducted":[170],"verification":[171],"two":[173],"data":[175],"sets.":[176],"experimental":[178],"results":[179],"show":[180],"that":[181],"proposed":[183],"algorithm":[184],"capable":[186],"producing":[188],"better":[189],"results.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}