{"id":"https://openalex.org/W1977372648","doi":"https://doi.org/10.1109/icdsp.2013.6622720","title":"Vehicle Make and Model Recognition in CCTV footage","display_name":"Vehicle Make and Model Recognition in CCTV footage","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1977372648","doi":"https://doi.org/10.1109/icdsp.2013.6622720","mag":"1977372648"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2013.6622720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dspace.lboro.ac.uk/2134/24425","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032328388","display_name":"Sara Saravi","orcid":"https://orcid.org/0000-0003-2226-0199"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sara Saravi","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, UK","Dept. of Computer Science, Loughborough University, Loughborough, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, UK","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"Dept. of Computer Science, Loughborough University, Loughborough, UK#TAB#","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027935136","display_name":"Eran A. Edirisinghe","orcid":"https://orcid.org/0000-0002-7570-3670"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Eran A. Edirisinghe","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, UK","Dept. of Computer Science, Loughborough University, Loughborough, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, UK","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"Dept. of Computer Science, Loughborough University, Loughborough, UK#TAB#","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032328388"],"corresponding_institution_ids":["https://openalex.org/I143804889"],"apc_list":null,"apc_paid":null,"fwci":0.2761,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.5731464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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":0.9983999729156494,"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":0.7646231055259705},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7557014226913452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7230093479156494},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6671252250671387},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5958108901977539},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.5696572065353394},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5058400630950928},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4890783429145813},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.45203155279159546},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45094940066337585},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4261135458946228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38127401471138},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14154621958732605},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1380232274532318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7646231055259705},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7557014226913452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7230093479156494},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6671252250671387},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5958108901977539},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.5696572065353394},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5058400630950928},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4890783429145813},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.45203155279159546},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45094940066337585},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4261135458946228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38127401471138},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14154621958732605},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1380232274532318},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdsp.2013.6622720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.lboro.ac.uk:2134/24425","is_oa":true,"landing_page_url":"https://dspace.lboro.ac.uk/2134/24425","pdf_url":null,"source":{"id":"https://openalex.org/S4306401023","display_name":"Loughborough University Institutional Repository (Loughborough University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143804889","host_organization_name":"Loughborough University","host_organization_lineage":["https://openalex.org/I143804889"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:dspace.lboro.ac.uk:2134/24425","is_oa":true,"landing_page_url":"https://dspace.lboro.ac.uk/2134/24425","pdf_url":null,"source":{"id":"https://openalex.org/S4306401023","display_name":"Loughborough University Institutional Repository (Loughborough University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143804889","host_organization_name":"Loughborough University","host_organization_lineage":["https://openalex.org/I143804889"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1981438058","https://openalex.org/W1995903777","https://openalex.org/W2012831311","https://openalex.org/W2020350089","https://openalex.org/W2040212551","https://openalex.org/W2123203601","https://openalex.org/W2125886398","https://openalex.org/W2134236847","https://openalex.org/W2134365368","https://openalex.org/W2148089441","https://openalex.org/W2161969291","https://openalex.org/W2404348063","https://openalex.org/W6713194685"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W3126131230","https://openalex.org/W2347541121","https://openalex.org/W2080951048","https://openalex.org/W4288804799","https://openalex.org/W3032237421","https://openalex.org/W2390346111","https://openalex.org/W3011883280","https://openalex.org/W2369082698","https://openalex.org/W2112198772"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,54],"novel":[4,55],"approach":[5,71],"to":[6,22,88,98,110],"Vehicle":[7],"Make":[8,40],"&":[9],"Model":[10,42],"Recognition":[11],"in":[12,122],"CCTV":[13,30,124],"video":[14],"footage.":[15],"CPD":[16],"(coherent":[17],"Point":[18],"Drift)":[19],"is":[20,61,72,86],"used":[21,73,87,97],"effectively":[23],"remove":[24],"skew":[25],"of":[26,93,102],"vehicles":[27,48],"detected":[28],"as":[29],"cameras":[31],"are":[32,96,108],"not":[33],"specifically":[34],"configured":[35],"for":[36,74],"the":[37,81,100,103,113],"VMMR":[38],"(Vehicle":[39],"and":[41,45,77],"Recognition)":[43],"task":[44],"may":[46],"capture":[47],"at":[49],"different":[50],"approaching":[51],"angles.":[52],"Also":[53],"ROI":[56],"(Region":[57],"Of":[58],"Interest)":[59],"segmentation":[60],"proposed.":[62],"A":[63,91],"LESH":[64],"(Local":[65],"Energy":[66],"Shape":[67],"Histogram)":[68],"feature":[69],"based":[70],"vehicle":[75],"make":[76],"model":[78],"recognition":[79],"with":[80,126],"novelty":[82],"that":[83,112],"temporal":[84],"processing":[85],"improve":[89],"reliability.":[90],"number":[92],"further":[94],"algorithms":[95],"maximize":[99],"reliability":[101],"final":[104],"outcome.":[105],"Experimental":[106],"results":[107],"provided":[109],"prove":[111],"proposed":[114],"system":[115],"demonstrates":[116],"accuracy":[117],"over":[118],"95%":[119],"when":[120],"tested":[121],"real":[123],"footage":[125],"no":[127],"prior":[128],"camera":[129],"calibration.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
