{"id":"https://openalex.org/W2519108195","doi":"https://doi.org/10.1109/tits.2016.2603069","title":"A Low-Complexity Vision-Based System for Real-Time Traffic Monitoring","display_name":"A Low-Complexity Vision-Based System for Real-Time Traffic Monitoring","publication_year":2016,"publication_date":"2016-09-13","ids":{"openalex":"https://openalex.org/W2519108195","doi":"https://doi.org/10.1109/tits.2016.2603069","mag":"2519108195"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2016.2603069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2016.2603069","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-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":null,"display_name":"Juan Isaac Engel","orcid":null},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Juan Isaac Engel","raw_affiliation_strings":["Department of Communications Engineering, University of M\u00e1laga, M\u00e1laga, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of M\u00e1laga, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106181205","display_name":"Juan Carlos De Martin","orcid":"https://orcid.org/0000-0002-5722-9864"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan Martin","raw_affiliation_strings":["Department of Communications Engineering, University of M\u00e1laga, M\u00e1laga, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of M\u00e1laga, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039871509","display_name":"Raquel Barco","orcid":"https://orcid.org/0000-0002-8993-5229"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Raquel Barco","raw_affiliation_strings":["Department of Communications Engineering, University of M\u00e1laga, M\u00e1laga, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of M\u00e1laga, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82767444"],"apc_list":null,"apc_paid":null,"fwci":2.7036,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.93712432,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"5","first_page":"1279","last_page":"1288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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":0.7154887914657593},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6887080669403076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6446745991706848},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5581936240196228},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5060426592826843},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.494153767824173},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.47156593203544617},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.43396344780921936},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24888914823532104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7154887914657593},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6887080669403076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6446745991706848},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5581936240196228},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5060426592826843},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.494153767824173},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.47156593203544617},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.43396344780921936},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24888914823532104},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2016.2603069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2016.2603069","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1967731692","https://openalex.org/W1985134865","https://openalex.org/W1994304612","https://openalex.org/W1995987007","https://openalex.org/W2027385846","https://openalex.org/W2027797775","https://openalex.org/W2106839910","https://openalex.org/W2112445825","https://openalex.org/W2116912694","https://openalex.org/W2129897180","https://openalex.org/W2132461991","https://openalex.org/W2134576786","https://openalex.org/W2143373691","https://openalex.org/W2164141085","https://openalex.org/W2165927991","https://openalex.org/W2168954330","https://openalex.org/W6646428560","https://openalex.org/W6648923259"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2171116555","https://openalex.org/W2005437358","https://openalex.org/W4281553171","https://openalex.org/W1669643531","https://openalex.org/W2123374136","https://openalex.org/W2900363363","https://openalex.org/W3098068165","https://openalex.org/W3096301266","https://openalex.org/W121273120"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3,75,138],"novel,":[4],"efficient,":[5],"and":[6,21,46,106],"fast-performing":[7],"vision-based":[8],"system":[9,60,122],"for":[10],"traffic":[11,18],"flow":[12],"monitoring":[13],"is":[14,61,123],"presented.":[15],"Using":[16],"standard":[17,139],"surveillance":[19],"cameras":[20,132],"effectively":[22],"applying":[23],"simple":[24],"techniques,":[25],"the":[26,53,56,59,83,99,121,134],"proposed":[27,57,100],"method":[28,73,101],"can":[29,102],"produce":[30],"accurate":[31],"results":[32,96],"on":[33,82],"vehicle":[34],"counting":[35],"in":[36,69,137],"different":[37],"challenging":[38],"situations,":[39],"such":[40],"as":[41],"low-resolution":[42],"videos,":[43],"rainy":[44],"scenes,":[45],"situations":[47],"of":[48,55],"stop-and-go":[49],"traffic.":[50],"Due":[51],"to":[52,63,92,125,129],"simplicity":[54],"algorithm,":[58],"able":[62,124],"manage":[64],"multiple":[65],"video":[66],"streams":[67],"simultaneously":[68],"real":[70],"time.":[71],"The":[72],"follows":[74],"robust":[76],"adaptive":[77],"background":[78],"segmentation":[79],"strategy":[80],"based":[81],"Approximated":[84],"Median":[85],"Filter":[86],"technique,":[87],"which":[88],"detects":[89],"pixels":[90],"corresponding":[91],"moving":[93],"objects.":[94],"Experimental":[95],"show":[97],"that":[98,120],"achieve":[103],"sufficient":[104],"accuracy":[105],"reliability":[107],"while":[108],"showing":[109],"high":[110],"performance":[111],"rates,":[112],"outperforming":[113],"other":[114],"state-of-the-art":[115],"methods.":[116],"Tests":[117],"have":[118],"proved":[119],"work":[126],"with":[127],"up":[128],"50":[130],"standard-resolution":[131],"at":[133],"same":[135],"time":[136],"computer,":[140],"producing":[141],"satisfactory":[142],"results.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
