{"id":"https://openalex.org/W3115551512","doi":"https://doi.org/10.1109/kse50997.2020.9287483","title":"Real-time vehicle detection and counting based on YOLO and DeepSORT","display_name":"Real-time vehicle detection and counting based on YOLO and DeepSORT","publication_year":2020,"publication_date":"2020-11-12","ids":{"openalex":"https://openalex.org/W3115551512","doi":"https://doi.org/10.1109/kse50997.2020.9287483","mag":"3115551512"},"language":"en","primary_location":{"id":"doi:10.1109/kse50997.2020.9287483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse50997.2020.9287483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Systems Engineering (KSE)","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/A5069777977","display_name":"Thanh-Nghi Doan","orcid":"https://orcid.org/0000-0002-9957-0948"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I49382586","display_name":"An Giang University","ror":"https://ror.org/023pm6532","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I49382586"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thanh-Nghi Doan","raw_affiliation_strings":["An Giang University, An Giang, Vietnam","Vietnam National University, Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"An Giang University, An Giang, Vietnam","institution_ids":["https://openalex.org/I49382586"]},{"raw_affiliation_string":"Vietnam National University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046722814","display_name":"Truong Minh-Tuyen","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]},{"id":"https://openalex.org/I49382586","display_name":"An Giang University","ror":"https://ror.org/023pm6532","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I49382586"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Minh-Tuyen Truong","raw_affiliation_strings":["An Giang University, An Giang, Vietnam","Vietnam National University, Ho Chi Minh City, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"An Giang University, An Giang, Vietnam","institution_ids":["https://openalex.org/I49382586"]},{"raw_affiliation_string":"Vietnam National University, Ho Chi Minh City, Vietnam","institution_ids":["https://openalex.org/I123565023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8599,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.88235976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9965000152587891,"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":0.8029789328575134},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7201859354972839},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7180911302566528},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6681498885154724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5455259680747986},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5039209723472595},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44939854741096497},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4488065540790558},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4463891386985779},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4373895227909088},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4305034279823303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36258405447006226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34829068183898926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3229405879974365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.21385285258293152},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09530040621757507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029789328575134},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7201859354972839},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7180911302566528},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6681498885154724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5455259680747986},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5039209723472595},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44939854741096497},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4488065540790558},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4463891386985779},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4373895227909088},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4305034279823303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36258405447006226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34829068183898926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3229405879974365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.21385285258293152},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09530040621757507},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"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/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse50997.2020.9287483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse50997.2020.9287483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W62293165","https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W1913780188","https://openalex.org/W2038735287","https://openalex.org/W2068730032","https://openalex.org/W2088049833","https://openalex.org/W2093810175","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2117228865","https://openalex.org/W2127923214","https://openalex.org/W2150440166","https://openalex.org/W2168954330","https://openalex.org/W2171932356","https://openalex.org/W2186233030","https://openalex.org/W2193145675","https://openalex.org/W2209193152","https://openalex.org/W2237765446","https://openalex.org/W2252355370","https://openalex.org/W2340899734","https://openalex.org/W2374279841","https://openalex.org/W2490270993","https://openalex.org/W2518499265","https://openalex.org/W2570343428","https://openalex.org/W2603203130","https://openalex.org/W2763108738","https://openalex.org/W2767744303","https://openalex.org/W2795812085","https://openalex.org/W2798131626","https://openalex.org/W2804870843","https://openalex.org/W2884367402","https://openalex.org/W2902464468","https://openalex.org/W2905770299","https://openalex.org/W2955814931","https://openalex.org/W2963037989","https://openalex.org/W3018757597","https://openalex.org/W3104218139","https://openalex.org/W3106250896","https://openalex.org/W3121480429","https://openalex.org/W4293584584","https://openalex.org/W4295331127","https://openalex.org/W6602500548","https://openalex.org/W6620707391","https://openalex.org/W6685202850","https://openalex.org/W6750048442"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Intelligent":[0],"vehicle":[1,41],"detection":[2],"and":[3,14,36,62,73,107],"counting":[4,37],"are":[5,42],"becoming":[6],"increasingly":[7],"important":[8],"in":[9,29],"the":[10,79,99],"field":[11,113],"of":[12,40,50,81,105,109,115,122],"highway":[13],"transport":[15],"infrastructure":[16],"management.":[17],"Traditional":[18],"methods":[19],"based":[20],"on":[21,86],"image":[22],"information":[23],"have":[24,92],"shown":[25,93],"several":[26],"limitations.":[27],"Especially":[28],"real-world":[30],"environment":[31],"conditions,":[32],"real-time":[33,120],"detection,":[34],"classification":[35],"each":[38],"type":[39],"still":[43],"a":[44,84,119],"big":[45],"challenge.":[46],"The":[47,64],"main":[48],"purpose":[49],"this":[51],"study":[52],"is":[53],"to":[54],"develop":[55],"an":[56],"adaptive":[57],"model":[58,66],"that":[59,94],"combine":[60],"YOLOv4":[61],"DeepSORT.":[63],"new":[65],"can":[67],"detect":[68],"object":[69],"with":[70,83],"high":[71],"accuracy":[72],"fast":[74],"calculation":[75],"time":[76],"by":[77],"taking":[78],"benefits":[80],"tracking":[82],"focus":[85],"simple,":[87],"effective":[88],"algorithms.":[89],"Experiment":[90],"results":[91],"our":[95,116],"proposed":[96],"approach":[97],"outperforms":[98],"original":[100],"one":[101],"at":[102,118],"least":[103],"11%":[104],"AP":[106],"12%":[108],"AP50":[110],"for":[111],"most":[112],"scenarios":[114],"dataset":[117],"speed":[121],"~32":[123],"FPS.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
