{"id":"https://openalex.org/W2166925743","doi":"https://doi.org/10.1109/itsc.2006.1707445","title":"Bidirectional roadway detection for traffic surveillance using online CCTV videos","display_name":"Bidirectional roadway detection for traffic surveillance using online CCTV videos","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2166925743","doi":"https://doi.org/10.1109/itsc.2006.1707445","mag":"2166925743"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2006.1707445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2006.1707445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE Intelligent Transportation Systems Conference","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/A5040830494","display_name":"Woochul Lee","orcid":"https://orcid.org/0000-0002-0911-961X"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Woochul Lee","raw_affiliation_strings":["Civil and Engineering Department, University of Wisconsin, Madison, Madison, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Civil and Engineering Department, University of Wisconsin, Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060394098","display_name":"Bin Ran","orcid":"https://orcid.org/0000-0002-5464-0930"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Ran","raw_affiliation_strings":["Civil and Engineering Department, University of Wisconsin, Madison, Madison, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Civil and Engineering Department, University of Wisconsin, Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1556","last_page":"1561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9950000047683716,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9944999814033508,"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":0.707334578037262},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6738981008529663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5602791905403137},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.47563600540161133},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.44386523962020874},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4351355731487274}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707334578037262},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6738981008529663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5602791905403137},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.47563600540161133},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.44386523962020874},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4351355731487274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/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/itsc.2006.1707445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2006.1707445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE Intelligent Transportation Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1508960934","https://openalex.org/W1561442812","https://openalex.org/W2002094820","https://openalex.org/W2108694712","https://openalex.org/W2111319855","https://openalex.org/W2122487083","https://openalex.org/W2129926140","https://openalex.org/W2135058864","https://openalex.org/W3023501095"],"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":{"This":[0],"paper":[1],"presents":[2],"a":[3,69,73,78,88,97],"robust":[4],"roadway":[5,21,57,74,102,110,135],"detection":[6,22,33,39],"method":[7,50,131],"by":[8,42,83],"direction":[9,54],"using":[10,17],"online":[11],"CCTV":[12],"videos.":[13],"In":[14],"traffic":[15,25,53,63,79,121],"surveillance":[16],"video/image":[18],"processing,":[19],"the":[20,24,46,56,101,109,129,134],"in":[23,59,68,87],"scene":[26,80],"not":[27],"only":[28],"improves":[29],"efficiency":[30],"of":[31,55,65,77,100],"vehicle":[32],"and":[34,105,120],"tracking,":[35],"but":[36],"also":[37],"reduces":[38],"errors":[40],"caused":[41],"objects":[43],"peripheral":[44],"to":[45,61,107],"roadway.":[47],"The":[48],"proposed":[49,130],"detects":[51],"each":[52],"separately":[58],"order":[60],"provide":[62],"information":[64],"both":[66],"directions":[67,136],"step-wise":[70],"procedure.":[71],"First,":[72],"mask":[75,111],"image":[76,90],"is":[81,103],"created":[82],"accumulating":[84],"moving":[85],"parts":[86],"difference":[89],"between":[91],"two":[92,113],"consequence":[93],"input":[94],"images.":[95],"Next,":[96],"center":[98],"line":[99],"identified":[104],"used":[106],"divide":[108],"into":[112],"parts.":[114],"Roadways":[115],"with":[116],"different":[117],"geometry":[118],"types":[119],"condition":[122],"were":[123],"studied.":[124],"Experimental":[125],"results":[126],"show":[127],"that":[128],"successfully":[132],"separated":[133]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}