{"id":"https://openalex.org/W4384519365","doi":"https://doi.org/10.1109/access.2023.3296309","title":"A Swin Transformer-Based Approach for Motorcycle Helmet Detection","display_name":"A Swin Transformer-Based Approach for Motorcycle Helmet Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4384519365","doi":"https://doi.org/10.1109/access.2023.3296309"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3296309","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3296309","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10185029.pdf","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://ieeexplore.ieee.org/ielx7/6287639/6514899/10185029.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092484164","display_name":"Ayyoub Bouhayane","orcid":"https://orcid.org/0009-0005-9266-5687"},"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"]},{"id":"https://openalex.org/I127336678","display_name":"Ecole Mohammadia d'Ing\u00e9nieurs","ror":"https://ror.org/00md3qm14","country_code":"MA","type":"education","lineage":["https://openalex.org/I127336678"]},{"id":"https://openalex.org/I4210106663","display_name":"International University of Rabat","ror":"https://ror.org/01t9czq80","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210106663"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Ayyoub Bouhayane","raw_affiliation_strings":["ERSC Team, Mohammadia Engineering School, Mohammed V University, Rabat, Morocco","TICLab, College of Engineering and Architecture, International University of Rabat, Rabat, Morocco"],"raw_orcid":"https://orcid.org/0009-0005-9266-5687","affiliations":[{"raw_affiliation_string":"ERSC Team, Mohammadia Engineering School, Mohammed V University, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371","https://openalex.org/I127336678"]},{"raw_affiliation_string":"TICLab, College of Engineering and Architecture, International University of Rabat, Rabat, Morocco","institution_ids":["https://openalex.org/I4210106663"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022059826","display_name":"Zakaria Charouh","orcid":"https://orcid.org/0000-0003-2867-5491"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zakaria Charouh","raw_affiliation_strings":["Majal Berkane, Berkane, Morocco"],"raw_orcid":"https://orcid.org/0000-0003-2867-5491","affiliations":[{"raw_affiliation_string":"Majal Berkane, Berkane, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057324156","display_name":"Mounir Ghogho","orcid":"https://orcid.org/0000-0002-0055-7867"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]},{"id":"https://openalex.org/I4210106663","display_name":"International University of Rabat","ror":"https://ror.org/01t9czq80","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210106663"]}],"countries":["GB","MA"],"is_corresponding":false,"raw_author_name":"Mounir Ghogho","raw_affiliation_strings":["TICLab, College of Engineering and Architecture, International University of Rabat, Rabat, Morocco","School of EEE, Faculty of Engineering, University of Leeds, Leeds, U.K"],"raw_orcid":"https://orcid.org/0000-0002-0055-7867","affiliations":[{"raw_affiliation_string":"TICLab, College of Engineering and Architecture, International University of Rabat, Rabat, Morocco","institution_ids":["https://openalex.org/I4210106663"]},{"raw_affiliation_string":"School of EEE, Faculty of Engineering, University of Leeds, Leeds, U.K","institution_ids":["https://openalex.org/I130828816"]}]},{"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"]},{"id":"https://openalex.org/I127336678","display_name":"Ecole Mohammadia d'Ing\u00e9nieurs","ror":"https://ror.org/00md3qm14","country_code":"MA","type":"education","lineage":["https://openalex.org/I127336678"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Zouhair Guennoun","raw_affiliation_strings":["ERSC Team, Mohammadia Engineering School, Mohammed V University, Rabat, Morocco"],"raw_orcid":"https://orcid.org/0000-0002-7142-0550","affiliations":[{"raw_affiliation_string":"ERSC Team, Mohammadia Engineering School, Mohammed V University, Rabat, Morocco","institution_ids":["https://openalex.org/I126477371","https://openalex.org/I127336678"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1950,"currency":"USD","value_usd":1950},"apc_paid":{"value":1950,"currency":"USD","value_usd":1950},"fwci":1.532,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79844578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"74410","last_page":"74419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10370","display_name":"Traffic and Road Safety","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8188912868499756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.645290195941925},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6387285590171814},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6127867698669434},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5870981216430664},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49376973509788513},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.47048452496528625},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4664335548877716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46036186814308167},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4459969997406006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38249707221984863},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10040667653083801},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.078136146068573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8188912868499756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.645290195941925},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6387285590171814},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6127867698669434},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5870981216430664},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49376973509788513},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.47048452496528625},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4664335548877716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46036186814308167},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4459969997406006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38249707221984863},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10040667653083801},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.078136146068573},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3296309","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3296309","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10185029.pdf","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:9268eed55ada4a5b86fee3e05fbc5b58","is_oa":true,"landing_page_url":"https://doaj.org/article/9268eed55ada4a5b86fee3e05fbc5b58","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 11, Pp 74410-74419 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3296309","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3296309","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10185029.pdf","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":[{"id":"https://openalex.org/F4320323771","display_name":"Centre National pour la Recherche Scientifique et Technique","ror":"https://ror.org/00675rp98"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384519365.pdf","grobid_xml":"https://content.openalex.org/works/W4384519365.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2102605133","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2588014868","https://openalex.org/W2603203130","https://openalex.org/W2735707103","https://openalex.org/W2806260107","https://openalex.org/W2919115771","https://openalex.org/W2931294353","https://openalex.org/W2948525753","https://openalex.org/W2953400329","https://openalex.org/W2963351448","https://openalex.org/W2979408931","https://openalex.org/W2985957917","https://openalex.org/W2989676862","https://openalex.org/W3006058774","https://openalex.org/W3016459264","https://openalex.org/W3018757597","https://openalex.org/W3082706169","https://openalex.org/W3090757175","https://openalex.org/W3092461174","https://openalex.org/W3126424867","https://openalex.org/W3138516171","https://openalex.org/W3157183890","https://openalex.org/W3173253524","https://openalex.org/W3194823089","https://openalex.org/W4205727782","https://openalex.org/W4226164907","https://openalex.org/W4283784301","https://openalex.org/W4292794149","https://openalex.org/W4385245566","https://openalex.org/W4386076325","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6739901393","https://openalex.org/W6777046832","https://openalex.org/W6849520326"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W2060986072","https://openalex.org/W1566155057","https://openalex.org/W2052574922","https://openalex.org/W2065045110","https://openalex.org/W64588465","https://openalex.org/W3120641340","https://openalex.org/W2117825986","https://openalex.org/W2969228573"],"abstract_inverted_index":{"Video":[0],"surveillance-based":[1],"automated":[2,58],"detection":[3,28,148],"of":[4,21,57,60,87,120,143],"helmet":[5,61],"use":[6,62],"among":[7],"motorcyclists":[8],"has":[9],"the":[10,19,26,54,84,88,107],"potential":[11],"to":[12,38,43,132],"improve":[13],"road":[14],"safety":[15],"by":[16],"aiding":[17],"in":[18,46],"implementation":[20],"enforcement":[22],"initiatives.":[23],"Despite":[24],"that,":[25],"current":[27],"approaches":[29],"have":[30],"many":[31],"limitations.":[32],"For":[33],"instance,":[34],"they":[35],"are":[36],"unable":[37],"detect":[39],"multiple":[40],"passengers":[41],"or":[42],"function":[44],"effectively":[45],"complex":[47],"conditions.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"address":[53],"challenging":[55],"problem":[56],"monitoring":[59],"using":[63],"computer":[64],"vision":[65],"and":[66,97,129],"machine":[67],"learning.":[68],"We":[69,82],"propose":[70],"a":[71,92,100,138],"method":[72,123,136],"based":[73],"on":[74],"deep":[75],"neural":[76],"network":[77],"models":[78],"known":[79],"as":[80,91],"transformers.":[81],"apply":[83],"base":[85],"version":[86],"Swin":[89],"transformer":[90],"backbone":[93],"for":[94,115],"feature":[95],"extraction,":[96],"then":[98],"combine":[99],"Feature":[101],"Pyramid":[102],"Network":[103],"(FPN)":[104],"neck":[105],"with":[106],"Cascade":[108],"Region-based":[109],"Convolutional":[110],"Neural":[111],"Networks":[112],"(RCNN)":[113],"framework":[114],"final":[116],"detection.":[117],"The":[118],"effectiveness":[119],"our":[121],"proposed":[122],"is":[124,130],"demonstrated":[125],"through":[126],"extensive":[127],"experiments":[128],"compared":[131],"existing":[133],"approaches.":[134],"Our":[135],"achieves":[137],"mean":[139],"Average":[140],"Precision":[141],"(mAP)":[142],"30.4,":[144],"thus":[145],"outperforming":[146],"state-of-the-art":[147],"methods.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}