{"id":"https://openalex.org/W2965426837","doi":"https://doi.org/10.1109/inista.2019.8778263","title":"Improved Background Subtraction-based Moving Vehicle Detection by Optimizing Morphological Operations using Machine Learning","display_name":"Improved Background Subtraction-based Moving Vehicle Detection by Optimizing Morphological Operations using Machine Learning","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2965426837","doi":"https://doi.org/10.1109/inista.2019.8778263","mag":"2965426837"},"language":"en","primary_location":{"id":"doi:10.1109/inista.2019.8778263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inista.2019.8778263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)","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/A5022059826","display_name":"Zakaria Charouh","orcid":"https://orcid.org/0000-0003-2867-5491"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Zakaria Charouh","raw_affiliation_strings":["ERSC Team, Mohammed V University, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ERSC Team, Mohammed V University, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057324156","display_name":"Mounir Ghogho","orcid":"https://orcid.org/0000-0002-0055-7867"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mounir Ghogho","raw_affiliation_strings":["Faculty of Engineering, TICLab, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, TICLab, Rabat, Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068451870","display_name":"Zouhair Guennoun","orcid":"https://orcid.org/0000-0002-7142-0550"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Zouhair Guennoun","raw_affiliation_strings":["ERSC Team, Mohammed V University, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ERSC Team, Mohammed V University, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.098,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85568839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9950000047683716,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/background-subtraction","display_name":"Background subtraction","score":0.8901010155677795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7943547368049622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7610281109809875},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7203928232192993},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6230857372283936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5953595638275146},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4955052137374878},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4840216338634491},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.46012330055236816},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4340433180332184},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.41693341732025146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4029442369937897},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23799681663513184},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.07742577791213989}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8901010155677795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7943547368049622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7610281109809875},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7203928232192993},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6230857372283936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5953595638275146},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4955052137374878},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4840216338634491},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.46012330055236816},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4340433180332184},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.41693341732025146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4029442369937897},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23799681663513184},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.07742577791213989}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/inista.2019.8778263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inista.2019.8778263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2000139664","https://openalex.org/W2008238497","https://openalex.org/W2046341788","https://openalex.org/W2083088553","https://openalex.org/W2105607907","https://openalex.org/W2164741953","https://openalex.org/W2167152210","https://openalex.org/W2466163385","https://openalex.org/W2886287228","https://openalex.org/W2983488121","https://openalex.org/W4230982142"],"related_works":["https://openalex.org/W2105103921","https://openalex.org/W2028059897","https://openalex.org/W2086414697","https://openalex.org/W1999137714","https://openalex.org/W2953123162","https://openalex.org/W2188430267","https://openalex.org/W4298195641","https://openalex.org/W2110416663","https://openalex.org/W2123129869","https://openalex.org/W1987287817"],"abstract_inverted_index":{"Object":[0],"detection":[1,15,111],"represents":[2],"the":[3,32,40,47,62,66,70,83,95,99,102,124],"most":[4],"important":[5],"component":[6],"of":[7,34,42,94],"Automated":[8],"Vehicular":[9],"Surveillance":[10],"(AVS)":[11],"systems.":[12,30],"Moving":[13],"vehicle":[14],"based":[16,75],"on":[17,76],"background":[18,108],"subtraction,":[19],"with":[20],"fixed":[21],"morphological":[22,63,104],"parameters,":[23],"is":[24,74,112,132],"a":[25,56],"popular":[26],"approach":[27,37],"in":[28,39,46,60,69,82],"AVS":[29],"However,":[31],"performance":[33,137],"such":[35],"an":[36],"deteriorates":[38],"presence":[41],"sudden":[43],"illumination":[44,67,118],"changes":[45,68],"scene.":[48,71],"To":[49],"address":[50],"this":[51,53],"issue,":[52],"paper":[54],"proposes":[55],"method":[57,73],"to":[58,65,114,117,121,134],"adjust":[59],"real-time":[61],"parameters":[64],"The":[72,79,106],"machine":[77,84],"learning.":[78],"features":[80],"used":[81],"learning":[85],"models":[86],"are":[87,101],"first,":[88],"second,":[89],"third":[90],"and":[91,98,120,141],"fourth-order":[92],"statistics":[93],"grayscale":[96],"images,":[97],"outputs":[100],"appropriate":[103],"parameters.":[105],"resulting":[107],"subtraction-based":[109],"object":[110],"shown":[113,133],"be":[115],"robust":[116],"changes,":[119],"significantly":[122],"outperform":[123],"conventional":[125],"approach.":[126],"Further,":[127],"artificial":[128],"neural":[129],"network":[130],"(ANN)":[131],"provide":[135],"better":[136],"than":[138],"Naive":[139],"Bayes":[140],"K-Nearest":[142],"Neighbours":[143],"models.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
