{"id":"https://openalex.org/W4285221100","doi":"https://doi.org/10.1109/access.2022.3180796","title":"Investigation Into Recognition Algorithm of Helmet Violation Based on YOLOv5-CBAM-DCN","display_name":"Investigation Into Recognition Algorithm of Helmet Violation Based on YOLOv5-CBAM-DCN","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285221100","doi":"https://doi.org/10.1109/access.2022.3180796"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3180796","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3180796","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9791217/09791235.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/ielx7/6287639/9791217/09791235.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100318892","display_name":"Lijun Wang","orcid":"https://orcid.org/0000-0003-2538-8358"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijun Wang","raw_affiliation_strings":["School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044304656","display_name":"Yunyu Cao","orcid":"https://orcid.org/0000-0003-0526-5772"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyu Cao","raw_affiliation_strings":["School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006257960","display_name":"Song Wang","orcid":"https://orcid.org/0000-0002-2029-6465"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047206327","display_name":"Xiaona Song","orcid":"https://orcid.org/0000-0001-8476-5112"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaona Song","raw_affiliation_strings":["School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000735916","display_name":"Shenfeng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shenfeng Zhang","raw_affiliation_strings":["Suzhou Jiesheng Technology Company Ltd, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Suzhou Jiesheng Technology Company Ltd, Suzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639845","display_name":"Jianyong Zhang","orcid":"https://orcid.org/0000-0002-9538-9332"},"institutions":[{"id":"https://openalex.org/I874055015","display_name":"Teesside University","ror":"https://ror.org/03z28gk75","country_code":"GB","type":"education","lineage":["https://openalex.org/I874055015"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jianyong Zhang","raw_affiliation_strings":["School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, U.K"],"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, U.K","institution_ids":["https://openalex.org/I874055015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024728158","display_name":"Jinxing Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxing Niu","raw_affiliation_strings":["School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China","institution_ids":["https://openalex.org/I198645480"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100318892"],"corresponding_institution_ids":["https://openalex.org/I198645480"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.4113,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.96937694,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"60622","last_page":"60632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9678000211715698,"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":0.9678000211715698,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9404000043869019,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7492886185646057},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.679735541343689},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6723213791847229},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6261757612228394},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6029493808746338},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.573562502861023},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5292512774467468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5140865445137024},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.472226619720459},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4484788775444031},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4354616403579712},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37617117166519165},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3614884614944458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12188175320625305},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11675694584846497},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10845193266868591}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7492886185646057},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.679735541343689},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6723213791847229},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6261757612228394},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6029493808746338},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.573562502861023},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5292512774467468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5140865445137024},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.472226619720459},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4484788775444031},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4354616403579712},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37617117166519165},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3614884614944458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12188175320625305},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11675694584846497},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10845193266868591},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3180796","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3180796","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9791217/09791235.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:https://research.tees.ac.uk/ws/oai:openaire/75a1a140-a96e-431c-8225-133f52bc1a3c","is_oa":false,"landing_page_url":"https://research.tees.ac.uk/en/publications/75a1a140-a96e-431c-8225-133f52bc1a3c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401198","display_name":"TeesRep (Teesside University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I874055015","host_organization_name":"Teesside University","host_organization_lineage":["https://openalex.org/I874055015"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wang, L, Cao, Y, Wang, S, Song, X, Zhang, S, Zhang, J & Xiu, J 2022, 'Investigation Into Recognition Algorithm of Helmet Violation Based on YOLOv5-CBAM-DCN', IEEE Access, vol. 10, pp. 60622. < https://ieeexplore-ieee-org.ezproxy.tees.ac.uk/stamp/stamp.jsp?tp=&arnumber=9791235 >","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:59daa1e91e7f498ca8522119148288e9","is_oa":true,"landing_page_url":"https://doaj.org/article/59daa1e91e7f498ca8522119148288e9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 60622-60632 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3180796","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3180796","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9791217/09791235.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":[{"id":"https://openalex.org/G8901438052","display_name":null,"funder_award_id":"YK-2021-90","funder_id":"https://openalex.org/F4320325205","funder_display_name":"North China University of Water Conservancy and Electric Power"}],"funders":[{"id":"https://openalex.org/F4320318382","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41"},{"id":"https://openalex.org/F4320325205","display_name":"North China University of Water Conservancy and Electric Power","ror":"https://ror.org/03acrzv41"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285221100.pdf","grobid_xml":"https://content.openalex.org/works/W4285221100.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2745528820","https://openalex.org/W2972006294","https://openalex.org/W2995482434","https://openalex.org/W3033327717","https://openalex.org/W3034745255","https://openalex.org/W3034811322","https://openalex.org/W3035102456","https://openalex.org/W3035957914","https://openalex.org/W3046002912","https://openalex.org/W3086971787","https://openalex.org/W3118639714","https://openalex.org/W3146366485","https://openalex.org/W3153464316","https://openalex.org/W3158114921","https://openalex.org/W3164956625","https://openalex.org/W3167977644","https://openalex.org/W3174248541","https://openalex.org/W3180746471","https://openalex.org/W3207764742","https://openalex.org/W3214406712","https://openalex.org/W3217005998","https://openalex.org/W4213390660","https://openalex.org/W4249946803","https://openalex.org/W4384518617"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2362101859","https://openalex.org/W2791431590","https://openalex.org/W2941610985","https://openalex.org/W4235810826","https://openalex.org/W2350688482","https://openalex.org/W2122135111","https://openalex.org/W2977517636","https://openalex.org/W2810129309"],"abstract_inverted_index":{"Recognition":[0],"of":[1,16,26,47,72,90,101,125,152,165,178],"safety":[2,48],"helmets":[3,49],"wearing":[4],"by":[5,36,65,93,115,141],"construction":[6,38],"workers":[7],"is":[8,58,84,113,131,139,184],"a":[9,24,53,79,162,175],"common":[10],"target":[11,63,102],"detection":[12,163,176],"topic":[13],"in":[14,31,76],"applications":[15],"deep":[17],"learning-based":[18],"image":[19],"processing.":[20],"This":[21],"paper":[22],"provides":[23],"study":[25],"an":[27],"enhanced":[28],"YOLOv5-based":[29],"method,":[30],"which":[32,183],"the":[33,44,62,67,73,77,98,105,123,129,136,150,153,158,170],"challenges":[34],"caused":[35],"complicated":[37],"environment":[39],"backgrounds,":[40],"dense":[41],"targets,":[42],"and":[43,104,174],"irregular":[45],"shape":[46,64],"are":[50],"addressed.":[51],"In":[52],"trunk":[54],"network,":[55],"feature":[56,88],"extraction":[57,89],"more":[59],"based":[60],"on":[61],"using":[66],"Deformable":[68],"Convolution":[69],"Net":[70],"instead":[71],"conventional":[74],"convolution;":[75],"Neck,":[78],"Convolutional":[80],"Block":[81],"Attention":[82],"Module":[83],"introduced":[85],"to":[86,96,121,148],"weaken":[87],"complex":[91],"backgrounds":[92],"giving":[94],"weights":[95],"enhance":[97],"characterization":[99],"ability":[100],"features;":[103],"original":[106,171],"network&#x2019;s":[107],"Generalized":[108],"Intersection":[109,117],"over":[110,118,169],"Union":[111,119],"Loss":[112,120],"replaced":[114],"Distance":[116],"overcome":[122],"problem":[124],"erroneous":[126],"location":[127],"when":[128],"population":[130],"dense.":[132],"The":[133],"dataset":[134],"for":[135],"training":[137],"network":[138,172],"created":[140],"mixing":[142],"open-source":[143],"datasets":[144],"with":[145,186],"autonomous":[146],"collecting":[147],"evaluate":[149],"effectiveness":[151],"algorithm.":[154],"We":[155],"observed":[156],"that":[157],"improved":[159],"model":[160],"has":[161],"accuracy":[164],"91.6%,":[166],"up":[167],"2.3%":[168],"model,":[173],"speed":[177],"29":[179],"frames":[180],"per":[181],"second,":[182],"compliant":[185],"most":[187],"security":[188],"cameras&#x2019;":[189],"capture":[190],"frame":[191],"rate.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}