{"id":"https://openalex.org/W2897578281","doi":"https://doi.org/10.1109/conecct.2018.8482380","title":"Vehicle Counting for Traffic Management System using YOLO and Correlation Filter","display_name":"Vehicle Counting for Traffic Management System using YOLO and Correlation Filter","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2897578281","doi":"https://doi.org/10.1109/conecct.2018.8482380","mag":"2897578281"},"language":"en","primary_location":{"id":"doi:10.1109/conecct.2018.8482380","doi":"https://doi.org/10.1109/conecct.2018.8482380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/conecct.2018.8482380","pdf_url":null,"source":{"id":"https://openalex.org/S4363607966","display_name":"IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2018 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5047899011","display_name":"C S Asha","orcid":"https://orcid.org/0000-0002-9039-1548","observed_orcids":["https://orcid.org/0000-0002-9039-1548"]},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C S Asha","raw_affiliation_strings":["Electronics and Communication, National Institute of Technology, Karnataka, Mangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Communication, National Institute of Technology, Karnataka, Mangalore","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007371983","display_name":"A. V. Narasimhadhan","orcid":"https://orcid.org/0000-0001-5861-2032","observed_orcids":["https://orcid.org/0000-0001-5861-2032"]},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A V Narasimhadhan","raw_affiliation_strings":["Electronics and Communication, National Institute of Technology, Karnataka, Mangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Communication, National Institute of Technology, Karnataka, Mangalore","institution_ids":["https://openalex.org/I11880225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I11880225"],"apc_list":null,"apc_paid":null,"fwci":2.6623,"has_fulltext":false,"cited_by_count":107,"citation_normalized_percentile":{"value":0.94193243,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"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":0.9901999831199646,"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":0.9901999831199646,"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":0.004399999976158142,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0027000000700354576,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/vehicle-counting","display_name":"vehicle counting","score":0.9990000128746033},{"id":"https://openalex.org/keywords/traffic-management","display_name":"traffic management","score":0.7649999856948853},{"id":"https://openalex.org/keywords/yolo","display_name":"YOLO","score":0.8500000238418579},{"id":"https://openalex.org/keywords/correlation-filter","display_name":"correlation filter","score":0.9150000214576721},{"id":"https://openalex.org/keywords/multiple-object-tracking","display_name":"multiple object tracking","score":0.8870000243186951},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.7210000157356262},{"id":"https://openalex.org/keywords/surveillance-video","display_name":"surveillance video","score":0.6880000233650208},{"id":"https://openalex.org/keywords/handheld-camera","display_name":"handheld camera","score":0.6399999856948853},{"id":"https://openalex.org/keywords/highway-traffic","display_name":"highway traffic","score":0.8500000238418579},{"id":"https://openalex.org/keywords/intelligent-transportation-systems","display_name":"intelligent transportation systems","score":0.7120000123977661},{"id":"https://openalex.org/keywords/traffic-density-estimation","display_name":"traffic density estimation","score":0.6660000085830688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7388001084327698},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6295875310897827},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6253325939178467},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5882034301757812},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5261679887771606},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5202216506004333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5162298679351807},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5037001967430115},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5016615390777588},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4894963502883911},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47558367252349854},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44875583052635193},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.446031391620636},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.43221598863601685},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.23471277952194214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14868399500846863},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08617037534713745},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.07486468553543091},{"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/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/conecct.2018.8482380","doi":"https://doi.org/10.1109/conecct.2018.8482380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/conecct.2018.8482380","pdf_url":null,"source":{"id":"https://openalex.org/S4363607966","display_name":"IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2018 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9"},{"display_name":"Sustainable cities and communities","score":0.5142999887466431,"id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1131876441","https://openalex.org/W1483870316","https://openalex.org/W1968774525","https://openalex.org/W1973950538","https://openalex.org/W1997121481","https://openalex.org/W2034831901","https://openalex.org/W2036989445","https://openalex.org/W2038436579","https://openalex.org/W2056518953","https://openalex.org/W2061722967","https://openalex.org/W2095537868","https://openalex.org/W2096968154","https://openalex.org/W2110013522","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2518499265","https://openalex.org/W2964219978","https://openalex.org/W6684392942"],"related_works":["https://openalex.org/W4407950977","https://openalex.org/W4229459771","https://openalex.org/W4411629800","https://openalex.org/W4408862559","https://openalex.org/W7161954813","https://openalex.org/W6905073196","https://openalex.org/W3214244983","https://openalex.org/W4285612302","https://openalex.org/W3196160368","https://openalex.org/W3012466933"],"abstract_inverted_index":{"Vehicle":[0],"counting":[1,65],"is":[2,81],"a":[3,35,68,79],"process":[4],"to":[5,11,49],"estimate":[6],"the":[7,13,21,30,50,109,134,139,150,158],"road":[8],"traffic":[9,14,41,70],"density":[10],"assess":[12],"conditions":[15],"for":[16],"intelligent":[17],"transportation":[18],"systems.":[19],"With":[20],"extensive":[22],"utilization":[23],"of":[24,52,78,92],"cameras":[25,54],"in":[26,67,83,108,122],"urban":[27],"transport":[28],"systems,":[29],"surveillance":[31],"video":[32,71,80,146],"has":[33,44],"become":[34,45],"central":[36],"data":[37],"source.":[38],"Also,":[39],"real-time":[40],"management":[42],"system":[43],"popular":[46],"recently":[47],"due":[48],"availability":[51],"handheld/mobile":[53],"and":[55,102,113,119,156],"big-data":[56],"analysis.":[57],"In":[58],"this":[59],"work,":[60],"we":[61,125],"propose":[62],"video-based":[63],"vehicle":[64],"method":[66,152],"highway":[69],"captured":[72],"using":[73,133,144],"handheld":[74],"cameras.":[75],"The":[76],"processing":[77],"achieved":[82,116],"three":[84],"stages":[85],"such":[86],"as":[87],"object":[88,110,128],"detection":[89,111],"by":[90,138],"means":[91],"YOLO":[93,104,140],"(You":[94],"Only":[95],"Look":[96],"Once),":[97],"tracking":[98,129],"with":[99,130],"correlation":[100,114,131],"filter,":[101],"counting.":[103],"attained":[105],"remarkable":[106],"outcome":[107],"area,":[112],"filters":[115,132],"greater":[117],"accuracy":[118],"competitive":[120],"speed":[121],"tracking.":[123],"Thus,":[124],"build":[126],"multiple":[127],"bounding":[135],"boxes":[136],"generated":[137],"framework.":[141],"Experimental":[142],"analysis":[143],"real":[145],"sequences":[147],"shows":[148],"that":[149],"proposed":[151],"can":[153],"detect,":[154],"track":[155],"count":[157],"vehicles":[159],"accurately.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2018-10-26T00:00:00"}
