{"id":"https://openalex.org/W3188089627","doi":"https://doi.org/10.1109/icc42927.2021.9500776","title":"An Efficient Real-Time Vehicle Re-Identification Scheme Using Urban Surveillance Videos","display_name":"An Efficient Real-Time Vehicle Re-Identification Scheme Using Urban Surveillance Videos","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3188089627","doi":"https://doi.org/10.1109/icc42927.2021.9500776","mag":"3188089627"},"language":"en","primary_location":{"id":"doi:10.1109/icc42927.2021.9500776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086683628","display_name":"Xiren Ma","orcid":"https://orcid.org/0000-0002-5374-4543"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiren Ma","raw_affiliation_strings":["PARADISE Research Laboratory, EECS, University of Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PARADISE Research Laboratory, EECS, University of Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012195474","display_name":"Azzedine Boukerche","orcid":"https://orcid.org/0000-0002-3851-9938"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Azzedine Boukerche","raw_affiliation_strings":["PARADISE Research Laboratory, EECS, University of Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PARADISE Research Laboratory, EECS, University of Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":0.191,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49540083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9991999864578247,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8218963146209717},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.7302032709121704},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.713219404220581},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6751669049263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6180782914161682},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6000361442565918},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4712909758090973},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.46720120310783386},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45712679624557495},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4457137882709503},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42895954847335815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8218963146209717},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.7302032709121704},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.713219404220581},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6751669049263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6180782914161682},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6000361442565918},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4712909758090973},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.46720120310783386},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45712679624557495},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4457137882709503},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42895954847335815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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:10.1109/icc42927.2021.9500776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320994","display_name":"Canada Research Chairs","ror":"https://ror.org/0517h6h17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1836465849","https://openalex.org/W2072328159","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2470322391","https://openalex.org/W2512434173","https://openalex.org/W2549125172","https://openalex.org/W2598634450","https://openalex.org/W2707890836","https://openalex.org/W2756012011","https://openalex.org/W2773003563","https://openalex.org/W2789546350","https://openalex.org/W2792701502","https://openalex.org/W2799251491","https://openalex.org/W2883805248","https://openalex.org/W2885476150","https://openalex.org/W2889929596","https://openalex.org/W2889968392","https://openalex.org/W2898131585","https://openalex.org/W2899771611","https://openalex.org/W2903065295","https://openalex.org/W2903318697","https://openalex.org/W2916798096","https://openalex.org/W2936222941","https://openalex.org/W2948210185","https://openalex.org/W2949117887","https://openalex.org/W2955854238","https://openalex.org/W2963200533","https://openalex.org/W2970206392","https://openalex.org/W2980046511","https://openalex.org/W2982041213","https://openalex.org/W2983188006","https://openalex.org/W2991015661","https://openalex.org/W2991522752","https://openalex.org/W2998508940","https://openalex.org/W3020152020","https://openalex.org/W3035537506","https://openalex.org/W3047417463","https://openalex.org/W3109674698","https://openalex.org/W4387969510","https://openalex.org/W6618372016","https://openalex.org/W6638667902","https://openalex.org/W6735531217","https://openalex.org/W6739917289","https://openalex.org/W6756040250","https://openalex.org/W6779836534","https://openalex.org/W6787239158"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W4221148444","https://openalex.org/W4387678054","https://openalex.org/W2389596151","https://openalex.org/W3095575180","https://openalex.org/W4306784355","https://openalex.org/W2169308097","https://openalex.org/W2965546495","https://openalex.org/W4246226292","https://openalex.org/W3091984855"],"abstract_inverted_index":{"With":[0],"the":[1,26,41,54,59,85,90,97,113,117,120,128,131,158],"explosive":[2],"use":[3],"of":[4,19,33,53,89,112,119,134],"surveillance":[5],"and":[6,24,46,123,140,153],"onboard":[7],"cameras,":[8],"vision-based":[9],"Vehicle":[10],"Re-identification":[11],"(VReID)":[12],"has":[13,141],"attracted":[14],"widespread":[15],"attention.":[16],"The":[17,50,109,155],"goal":[18],"VReID":[20,37,55,106,143,164],"is":[21,56,116,136],"to":[22,57,83,96,100],"search":[23],"identify":[25],"target":[27],"vehicle":[28,114],"from":[29],"a":[30,71,79,102],"large":[31],"number":[32],"images.":[34],"An":[35],"efficient":[36,105],"model":[38,132,160],"can":[39],"help":[40],"police":[42],"make":[43],"fast":[44,168],"decisions":[45],"improve":[47],"regional":[48],"security.":[49],"major":[51],"challenge":[52],"distinguish":[58],"subtle":[60],"visual":[61],"difference":[62],"between":[63],"different":[64],"vehicles.":[65],"In":[66],"this":[67],"work,":[68],"we":[69],"propose":[70],"Compact":[72],"Attention":[73],"Unit":[74],"(CAU)":[75],"that":[76],"relies":[77],"on":[78,148],"single":[80],"attention":[81],"map":[82],"extract":[84],"discriminative":[86],"local":[87,124],"features":[88],"vehicle.":[91],"We":[92,145],"add":[93],"two":[94,149],"CAUs":[95],"truncated":[98],"ResNet":[99],"construct":[101],"small":[103],"but":[104],"model,":[107],"ResNetT-CAU.":[108],"feature":[110],"representation":[111],"image":[115],"concatenation":[118],"extracted":[121],"global":[122],"features.":[125],"Compared":[126],"with":[127,166],"original":[129],"ResNet,":[130],"size":[133],"ResNetT-CAU":[135],"reduced":[137],"by":[138],"60%":[139],"excellent":[142,163],"performance.":[144],"conduct":[146],"experiments":[147],"benchmark":[150],"datasets,":[151],"VeRi":[152],"VehicleID.":[154],"results":[156],"show":[157],"proposed":[159],"stably":[161],"achieves":[162],"performance":[165],"very":[167],"processing":[169],"speed.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}