{"id":"https://openalex.org/W4400488159","doi":"https://doi.org/10.1109/access.2024.3426295","title":"Real-Time Recognition and Tracking in Urban Spaces Through Deep Learning: A Case Study","display_name":"Real-Time Recognition and Tracking in Urban Spaces Through Deep Learning: A Case Study","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400488159","doi":"https://doi.org/10.1109/access.2024.3426295"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3426295","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3426295","pdf_url":null,"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://doi.org/10.1109/access.2024.3426295","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033572800","display_name":"William Villegas-Ch","orcid":"https://orcid.org/0000-0002-5421-7710"},"institutions":[{"id":"https://openalex.org/I4210102282","display_name":"Universidad de Las Am\u00e9ricas","ror":"https://ror.org/0198j4566","country_code":"EC","type":"education","lineage":["https://openalex.org/I4210102282"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"William Eduardo Villegas","raw_affiliation_strings":["Escuela de Ingenier&#x00ED;a en Ciberseguridad, FICA, Universidad de las Am&#x00E9;ricas, Quito, Ecuador"],"raw_orcid":"https://orcid.org/0000-0002-5421-7710","affiliations":[{"raw_affiliation_string":"Escuela de Ingenier&#x00ED;a en Ciberseguridad, FICA, Universidad de las Am&#x00E9;ricas, Quito, Ecuador","institution_ids":["https://openalex.org/I4210102282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045314910","display_name":"Santiago S\u00e1nchez-Viteri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140740","display_name":"Universidad Internacional del Ecuador","ror":"https://ror.org/04xf2rc74","country_code":"EC","type":"education","lineage":["https://openalex.org/I4210140740"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Santiago S\u00e1nchez-Viteri","raw_affiliation_strings":["Departamento de Sistemas, Universidad Internacional del Ecuador, Quito, Ecuador"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Sistemas, Universidad Internacional del Ecuador, Quito, Ecuador","institution_ids":["https://openalex.org/I4210140740"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088265373","display_name":"Sergio Luj\u00e1n\u2010Mora","orcid":"https://orcid.org/0000-0001-5000-864X"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sergio Luj\u00e1n-Mora","raw_affiliation_strings":["Department of Software and Computing Systems, University of Alicante, Alicante, Spain"],"raw_orcid":"https://orcid.org/0000-0001-5000-864X","affiliations":[{"raw_affiliation_string":"Department of Software and Computing Systems, University of Alicante, Alicante, Spain","institution_ids":["https://openalex.org/I130194489"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4306,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82402865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"95599","last_page":"95612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9977999925613403,"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":0.9977999925613403,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7077640295028687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5975071787834167},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5710932612419128},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5009751319885254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42991968989372253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3422256112098694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077640295028687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5975071787834167},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5710932612419128},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5009751319885254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42991968989372253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3422256112098694},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2024.3426295","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3426295","pdf_url":null,"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:8565327a5b694b52bd6511531e8a4121","is_oa":true,"landing_page_url":"https://doaj.org/article/8565327a5b694b52bd6511531e8a4121","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 12, Pp 95599-95612 (2024)","raw_type":"article"},{"id":"pmh:oai:rua.ua.es:10045/145231","is_oa":true,"landing_page_url":"http://hdl.handle.net/10045/145231","pdf_url":null,"source":{"id":"https://openalex.org/S4306400416","display_name":"Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130194489","host_organization_name":"University of Alicante","host_organization_lineage":["https://openalex.org/I130194489"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:zenodo.org:12754998","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ACCESS.2024.3426295","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, 12, 95599-95612, (2024-07-10)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3426295","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3426295","pdf_url":null,"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":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2165772416","https://openalex.org/W2334793245","https://openalex.org/W2513569230","https://openalex.org/W2755293291","https://openalex.org/W2887354935","https://openalex.org/W2902146084","https://openalex.org/W2958948808","https://openalex.org/W2964336507","https://openalex.org/W2983419058","https://openalex.org/W3112798201","https://openalex.org/W3113939440","https://openalex.org/W3148703355","https://openalex.org/W3153249728","https://openalex.org/W3164473061","https://openalex.org/W3169556488","https://openalex.org/W3174510556","https://openalex.org/W3192247133","https://openalex.org/W3199325298","https://openalex.org/W3200270375","https://openalex.org/W3207877247","https://openalex.org/W4200580899","https://openalex.org/W4205900964","https://openalex.org/W4207057737","https://openalex.org/W4214850506","https://openalex.org/W4221105839","https://openalex.org/W4256739890","https://openalex.org/W4280572605","https://openalex.org/W4283315310","https://openalex.org/W4287882002","https://openalex.org/W4293503682","https://openalex.org/W4293704729","https://openalex.org/W4294151799","https://openalex.org/W4304112951","https://openalex.org/W4312589375","https://openalex.org/W4313327409","https://openalex.org/W4320879662","https://openalex.org/W4353072281","https://openalex.org/W4360584294","https://openalex.org/W4362514623","https://openalex.org/W4375866544","https://openalex.org/W4378420470","https://openalex.org/W4380365756","https://openalex.org/W6842311439"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3009238340","https://openalex.org/W3116076068","https://openalex.org/W2229312674"],"abstract_inverted_index":{"Real-time":[0],"object":[1,29,197],"detection":[2,30,198],"in":[3,31,64,74,84,93,196,199,229,245],"urban":[4,32,76,85,100,200,230],"environments":[5,201],"is":[6,62,126],"critical":[7,244],"for":[8,27,56,128,182,209],"security,":[9],"transportation,":[10],"and":[11,40,70,77,98,115,139,151,168,177,202,206,212,226,239],"surveillance":[12,246],"applications.":[13,130],"This":[14,191],"work":[15,192],"presents":[16],"an":[17,52,116],"approach":[18,218],"based":[19],"on":[20],"the":[21,38,49,94,106],"You":[22],"Only":[23],"Look":[24],"Once":[25],"model":[26,81,108,157,185],"real-time":[28,57,129,149,210],"scenarios.":[33],"The":[34,80,102],"methodology":[35],"employed":[36],"includes":[37],"collection":[39,72],"annotation":[41,68],"of":[42,51,96,113,122,216],"a":[43,110,183,204],"diverse":[44],"dataset,":[45],"as":[46,48,164,173],"well":[47],"implementation":[50,133],"intuitive":[53],"user":[54],"interface":[55],"monitoring.":[58],"A":[59],"detailed":[60],"method":[61],"designed":[63],"stages,":[65],"including":[66,236],"semi-supervised":[67],"techniques":[69],"data":[71],"strategies":[73],"various":[75],"lighting":[78],"conditions.":[79],"was":[82],"evaluated":[83],"environments,":[86],"highlighting":[87],"its":[88],"ability":[89],"to":[90,143,194,223],"handle":[91,135],"variations":[92],"density":[95],"objects":[97,137],"unpredictable":[99],"events.":[101],"results":[103],"demonstrate":[104,148],"that":[105],"proposed":[107],"achieves":[109],"precision":[111,150],"rate":[112],"90%":[114],"average":[117],"processing":[118],"time":[119],"per":[120],"frame":[121],"16":[123],"ms,":[124],"which":[125,242],"suitable":[127],"Furthermore,":[131],"this":[132],"can":[134],"multiple":[136],"simultaneously":[138],"offers":[140,203],"robust":[141],"responses":[142],"rapid":[144],"environmental":[145],"changes.":[146],"We":[147],"efficiency":[152],"improvement":[153],"by":[154],"comparing":[155],"our":[156,217],"with":[158],"other":[159],"widely":[160],"used":[161],"approaches,":[162],"such":[163,172],"Faster":[165],"R-CNN,":[166],"SSD,":[167],"EfficientDet.":[169],"Additional":[170],"metrics":[171],"recall,":[174],"F1":[175],"score,":[176],"Intersection":[178],"over":[179],"Union,":[180],"essential":[181],"holistic":[184],"performance":[186],"evaluation,":[187],"are":[188,234,243],"also":[189],"discussed.":[190],"contributes":[193],"research":[195],"practical":[205],"ethical":[207],"solution":[208],"security":[211],"surveillance.":[213],"Potential":[214],"applications":[215],"range":[219],"from":[220],"traffic":[221],"monitoring":[222],"public":[224],"safety":[225],"event":[227],"management":[228],"environments.":[231],"Ethical":[232],"considerations":[233],"addressed,":[235],"privacy":[237],"protection":[238],"bias":[240],"mitigation,":[241],"technology.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2024-07-11T00:00:00"}
