{"id":"https://openalex.org/W4398774175","doi":"https://doi.org/10.1111/exsy.13640","title":"Leveraging <scp>YOLOv5s</scp> with optimization\u2010based effective anomaly detection in pedestrian walkways","display_name":"Leveraging <scp>YOLOv5s</scp> with optimization\u2010based effective anomaly detection in pedestrian walkways","publication_year":2024,"publication_date":"2024-05-23","ids":{"openalex":"https://openalex.org/W4398774175","doi":"https://doi.org/10.1111/exsy.13640"},"language":"en","primary_location":{"id":"doi:10.1111/exsy.13640","is_oa":false,"landing_page_url":"https://doi.org/10.1111/exsy.13640","pdf_url":null,"source":{"id":"https://openalex.org/S72232612","display_name":"Expert Systems","issn_l":"0266-4720","issn":["0266-4720","1468-0394"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert 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":"https://openalex.org/A5049664104","display_name":"Allabaksh Shaik","orcid":"https://orcid.org/0000-0002-2569-6142"},"institutions":[{"id":"https://openalex.org/I3130939756","display_name":"Sri Venkateswara Veterinary University","ror":"https://ror.org/00aw48305","country_code":"IN","type":"education","lineage":["https://openalex.org/I3130939756"]},{"id":"https://openalex.org/I52035452","display_name":"Jawaharlal Nehru Technological University Anantapur","ror":"https://ror.org/02rw39616","country_code":"IN","type":"education","lineage":["https://openalex.org/I52035452"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Allabaksh Shaik","raw_affiliation_strings":["Jawaharlal Nehru Technological University Anantapur  Ananthapuramu Andhra Pradesh India","Sri Venkateswara College of Engineering Tirupati Affiliated to Jawaharlal Nehru Technological University Anantapur  Ananthapuramu Andhra Pradesh India","Sri Venkateswara College of Engineering Tirupati, Affiliated to Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh, India","Sri Venkateswara College of Engineering Tirupati Affiliated to Jawaharlal Nehru Technological University Anantapur Ananthapuramu Andhra Pradesh India"],"raw_orcid":"https://orcid.org/0000-0002-2569-6142","affiliations":[{"raw_affiliation_string":"Jawaharlal Nehru Technological University Anantapur  Ananthapuramu Andhra Pradesh India","institution_ids":["https://openalex.org/I52035452"]},{"raw_affiliation_string":"Sri Venkateswara College of Engineering Tirupati Affiliated to Jawaharlal Nehru Technological University Anantapur  Ananthapuramu Andhra Pradesh India","institution_ids":["https://openalex.org/I52035452","https://openalex.org/I3130939756"]},{"raw_affiliation_string":"Sri Venkateswara College of Engineering Tirupati, Affiliated to Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh, India","institution_ids":["https://openalex.org/I52035452"]},{"raw_affiliation_string":"Sri Venkateswara College of Engineering Tirupati Affiliated to Jawaharlal Nehru Technological University Anantapur Ananthapuramu Andhra Pradesh India","institution_ids":["https://openalex.org/I52035452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015625920","display_name":"Shaik Mahaboob Basha","orcid":"https://orcid.org/0000-0002-5843-4472"},"institutions":[{"id":"https://openalex.org/I52035452","display_name":"Jawaharlal Nehru Technological University Anantapur","ror":"https://ror.org/02rw39616","country_code":"IN","type":"education","lineage":["https://openalex.org/I52035452"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shaik Mahaboob Basha","raw_affiliation_strings":["N.B.K.R. Institute of Science &amp; Technology, Vidyanagar Affiliated to Jawaharlal Nehru Technological University Anantapur  Ananthapuramu Andhra Pradesh India","N.B.K.R. Institute of Science & Technology, Vidyanagar, Affiliated to Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0002-5843-4472","affiliations":[{"raw_affiliation_string":"N.B.K.R. Institute of Science &amp; Technology, Vidyanagar Affiliated to Jawaharlal Nehru Technological University Anantapur  Ananthapuramu Andhra Pradesh India","institution_ids":["https://openalex.org/I52035452"]},{"raw_affiliation_string":"N.B.K.R. Institute of Science & Technology, Vidyanagar, Affiliated to Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh, India","institution_ids":["https://openalex.org/I52035452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049664104"],"corresponding_institution_ids":["https://openalex.org/I3130939756","https://openalex.org/I52035452"],"apc_list":{"value":3860,"currency":"USD","value_usd":3860},"apc_paid":null,"fwci":0.2778,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5872129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"42","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9930999875068665,"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":0.8825336694717407},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6577462553977966},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5811020731925964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29971814155578613},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.09080612659454346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8825336694717407},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6577462553977966},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5811020731925964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29971814155578613},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.09080612659454346},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/exsy.13640","is_oa":false,"landing_page_url":"https://doi.org/10.1111/exsy.13640","pdf_url":null,"source":{"id":"https://openalex.org/S72232612","display_name":"Expert Systems","issn_l":"0266-4720","issn":["0266-4720","1468-0394"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2996385530","https://openalex.org/W3135782378","https://openalex.org/W3145679516","https://openalex.org/W3208095095","https://openalex.org/W3214920926","https://openalex.org/W3215471007","https://openalex.org/W3216015240","https://openalex.org/W4200629080","https://openalex.org/W4206430750","https://openalex.org/W4229008034","https://openalex.org/W4248196768","https://openalex.org/W4280536487","https://openalex.org/W4281478450","https://openalex.org/W4285274737","https://openalex.org/W4296929608","https://openalex.org/W4297464668","https://openalex.org/W4317039827","https://openalex.org/W4318952381","https://openalex.org/W4360617540","https://openalex.org/W4380682614","https://openalex.org/W4383613937","https://openalex.org/W4385062287","https://openalex.org/W4385414005","https://openalex.org/W4388633230","https://openalex.org/W4390439516"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W3122828758","https://openalex.org/W2170799233"],"abstract_inverted_index":{"Abstract":[0],"Currently,":[1],"video":[2,34,59],"surveillance":[3,35,60],"is":[4,61,159,229],"generally":[5],"used":[6],"to":[7,41,92,107,214],"safeguard":[8],"safety":[9],"in":[10,52,58,68,79,99,129,149,162,181,254],"public":[11],"places":[12],"like":[13,70,110],"railway":[14],"stations,":[15],"traffic":[16],"signals,":[17],"malls,":[18],"and":[19,25,73,115,147,171],"so":[20,74,116],"on.":[21],"Video":[22,37],"anomaly":[23,38,77,179],"recognition":[24,39,78],"localization":[26,46],"are":[27],"the":[28,32,42,48,53,62,87,143,150,153,156,184,188,199,203,216,219,226,232,243],"main":[29,56],"components":[30],"of":[31,44,47,64,145,202,218,225,256],"intelligent":[33],"method.":[36],"refers":[40],"procedure":[43],"spatiotemporal":[45],"abnormal":[49],"design":[50],"existing":[51],"video.":[54],"A":[55],"task":[57],"classification":[63],"anomalies":[65,148],"that":[66,242],"occur":[67],"it":[69],"thefts,":[71],"crimes,":[72],"forth.":[75,117],"Also,":[76],"pedestrian":[80,94,182],"walkways":[81],"has":[82],"enlarged":[83],"major":[84],"attention":[85,106],"among":[86],"computer":[88],"vision":[89],"(CV)":[90],"groups":[91],"improve":[93],"protection.":[95],"The":[96,134,222],"current":[97],"developments":[98],"Deep":[100,123],"Learning":[101,124],"(DL)":[102],"methods":[103],"have":[104],"great":[105],"dissimilar":[108],"procedures":[109],"image":[111,157],"classification,":[112],"object":[113],"recognition,":[114],"This":[118],"study":[119,240],"designs":[120],"an":[121],"Optimal":[122],"for":[125,142],"Effective":[126],"Anomaly":[127,234],"Detection":[128],"Pedestrian":[130],"Walkways":[131],"(ODL\u2010EADPW)":[132],"model.":[133,221],"ODL\u2010EADPW":[135,154,185,204,227,244],"technique":[136,186,245],"employs":[137],"a":[138,194,206],"fine\u2010tuned":[139],"DL":[140,252],"model":[141,190],"identification":[144],"pedestrians":[146],"walkways.":[151],"In":[152],"technique,":[155,205],"pre\u2010processing":[158],"primarily":[160],"involved":[161],"two":[163],"stages":[164],"median":[165],"filtering":[166],"(MF)":[167],"based":[168],"noise":[169],"removal":[170],"adaptive":[172],"histogram":[173],"equalization":[174],"(AHE)\u2010based":[175],"contrast":[176],"enhancement.":[177],"For":[178],"detection":[180,200,235,248],"walkways,":[183],"uses":[187],"YOLOv5s":[189],"with":[191],"EfficientRep":[192,220],"as":[193],"backbone":[195],"network.":[196],"To":[197],"enhance":[198],"results":[201,249],"stochastic":[207],"gradient":[208],"descent":[209],"(SGD)":[210],"optimizer":[211],"was":[212],"employed":[213],"perfect":[215],"hyperparameters":[217],"performance":[223],"evaluation":[224],"methodology":[228],"implemented":[230],"on":[231],"UCSD":[233],"dataset.":[236],"An":[237],"extensive":[238],"comparison":[239],"stated":[241],"gains":[246],"effectual":[247],"over":[250],"other":[251],"models":[253],"terms":[255],"different":[257],"measures.":[258]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
