{"id":"https://openalex.org/W4399207440","doi":"https://doi.org/10.1109/access.2024.3408052","title":"Enhanced Vehicle Movement Counting at Intersections via a Self-Learning Fisheye Camera System","display_name":"Enhanced Vehicle Movement Counting at Intersections via a Self-Learning Fisheye Camera System","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399207440","doi":"https://doi.org/10.1109/access.2024.3408052"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3408052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3408052","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3408052","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077686926","display_name":"Morteza Adl","orcid":"https://orcid.org/0009-0001-4744-8270"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Morteza Adl","raw_affiliation_strings":["Mechanical Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, Canada"],"raw_orcid":"https://orcid.org/0009-0001-4744-8270","affiliations":[{"raw_affiliation_string":"Mechanical Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104078127","display_name":"Ryan Ahmed","orcid":"https://orcid.org/0009-0001-5805-2132"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ryan Ahmed","raw_affiliation_strings":["Mechanical Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025211299","display_name":"Carlos Vidal","orcid":"https://orcid.org/0000-0003-2853-6088"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Carlos Vidal","raw_affiliation_strings":["Mechanical Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2853-6088","affiliations":[{"raw_affiliation_string":"Mechanical Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079326512","display_name":"Ali Emadi","orcid":"https://orcid.org/0000-0002-0676-1455"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Emadi","raw_affiliation_strings":["Mechanical Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-0676-1455","affiliations":[{"raw_affiliation_string":"Mechanical Engineering Department, McMaster Automotive Resource Centre (MARC), McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8876,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71663046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"77947","last_page":"77958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9782999753952026,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9782999753952026,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9487000107765198,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9265000224113464,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7036705613136292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6781708598136902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515954494476318},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5142504572868347},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.4757128357887268},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0959463119506836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7036705613136292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6781708598136902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515954494476318},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5142504572868347},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.4757128357887268},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0959463119506836},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3408052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3408052","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7ad4f88083d14489874be8b9723eac64","is_oa":true,"landing_page_url":"https://doaj.org/article/7ad4f88083d14489874be8b9723eac64","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 77947-77958 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3408052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3408052","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1971168232","https://openalex.org/W2102605133","https://openalex.org/W2109606373","https://openalex.org/W2147880780","https://openalex.org/W2193145675","https://openalex.org/W2245783835","https://openalex.org/W2250447163","https://openalex.org/W2252355370","https://openalex.org/W2317690774","https://openalex.org/W2603203130","https://openalex.org/W2765611468","https://openalex.org/W2780567342","https://openalex.org/W2906776738","https://openalex.org/W2919115771","https://openalex.org/W2922078872","https://openalex.org/W2963037989","https://openalex.org/W2991236864","https://openalex.org/W3034566271","https://openalex.org/W3034799061","https://openalex.org/W3034907127","https://openalex.org/W3035139397","https://openalex.org/W3035354914","https://openalex.org/W3035466936","https://openalex.org/W3035704838","https://openalex.org/W3035732677","https://openalex.org/W3035782943","https://openalex.org/W3090906250","https://openalex.org/W3096609285","https://openalex.org/W3098600946","https://openalex.org/W3104218139","https://openalex.org/W3106250896","https://openalex.org/W3118212025","https://openalex.org/W3174112294","https://openalex.org/W3175264328","https://openalex.org/W3175985006","https://openalex.org/W3176646207","https://openalex.org/W3176857921","https://openalex.org/W4225323960","https://openalex.org/W4283826072","https://openalex.org/W4285816556","https://openalex.org/W4286904999","https://openalex.org/W4385805011","https://openalex.org/W4386076325","https://openalex.org/W6620707391"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Accurate":[0],"vehicle":[1,15,35,107],"counting":[2,51,102,108],"at":[3,37,75],"intersections":[4,38],"is":[5,125],"crucial":[6],"for":[7,160],"assessing":[8],"traffic":[9,19,164],"flow":[10],"and":[11,55,59,100],"gaining":[12],"insights":[13],"into":[14,93],"trajectories":[16],"captured":[17],"by":[18,88,127],"cameras.":[20],"This":[21],"paper":[22],"introduces":[23],"an":[24,147],"innovative":[25],"framework":[26],"that":[27],"leverages":[28],"a":[29,48,94],"fisheye":[30,133],"camera":[31,134],"system":[32],"to":[33,53],"count":[34],"movements":[36],"with":[39,64,71],"two":[40],"significant":[41],"contributions:":[42],"First,":[43],"the":[44,65,79,85,122,140],"proposed":[45,123],"algorithm":[46,74,80],"employs":[47],"novel":[49,144],"zone-based":[50,99],"methodology":[52],"categorize":[54],"collect":[56],"trajectory":[57],"data":[58],"autonomously":[60],"learn":[61],"movement":[62],"patterns":[63],"Density-Based":[66],"Spatial":[67],"Clustering":[68],"of":[69,121,142],"Applications":[70],"Noise":[72],"(DBSCAN)":[73],"intersections.":[76],"Second,":[77],"as":[78],"becomes":[81],"proficient":[82],"in":[83,110,163],"recognizing":[84],"paths":[86],"traversed":[87],"vehicles,":[89],"it":[90],"seamlessly":[91],"transitions":[92],"hybrid":[95],"mode,":[96],"integrating":[97],"both":[98],"path-based":[101],"techniques.":[103],"It":[104],"enables":[105],"accurate":[106],"even":[109],"challenging":[111],"scenarios":[112],"involving":[113],"broken":[114],"tracks":[115],"or":[116],"partial":[117],"trajectories.":[118],"The":[119,137],"performance":[120],"method":[124],"accessed":[126],"conducting":[128],"experiments":[129],"on":[130],"three":[131],"real-world":[132,161],"footage":[135],"datasets.":[136],"results":[138],"demonstrate":[139],"efficacy":[141],"our":[143],"approach,":[145],"achieving":[146],"impressive":[148],"F1":[149],"score":[150],"exceeding":[151],"98%":[152],"across":[153],"all":[154],"tested":[155],"intersections,":[156],"underscoring":[157],"its":[158],"potential":[159],"applications":[162],"management.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
