{"id":"https://openalex.org/W4389247684","doi":"https://doi.org/10.3233/faia230932","title":"Optimized Real-Time Object Detection and Tracking Using a Refined YOLOV4 Algorithm","display_name":"Optimized Real-Time Object Detection and Tracking Using a Refined YOLOV4 Algorithm","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389247684","doi":"https://doi.org/10.3233/faia230932"},"language":"en","primary_location":{"id":"doi:10.3233/faia230932","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230932","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230932","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230932","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057707144","display_name":"Haiwei Zuo","orcid":"https://orcid.org/0000-0002-7827-4664"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiwei Zuo","raw_affiliation_strings":["China Shenzhen Institute of Technology, No.1 Jiangjunmao Road, GuangDong, CHN 518000","Haiwei ZUO, Shenzhen Institute of Technology, China;"],"affiliations":[{"raw_affiliation_string":"China Shenzhen Institute of Technology, No.1 Jiangjunmao Road, GuangDong, CHN 518000","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"Haiwei ZUO, Shenzhen Institute of Technology, China;","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101919885","display_name":"Hehua Zhang","orcid":"https://orcid.org/0000-0002-9383-1334"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hehua Zhang","raw_affiliation_strings":["China Shenzhen Institute of Technology, No.1 Jiangjunmao Road, GuangDong, CHN 518000","Haiwei ZUO, Shenzhen Institute of Technology, China;"],"affiliations":[{"raw_affiliation_string":"China Shenzhen Institute of Technology, No.1 Jiangjunmao Road, GuangDong, CHN 518000","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"Haiwei ZUO, Shenzhen Institute of Technology, China;","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100554583","display_name":"Yanping Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Zhu","raw_affiliation_strings":["China Shenzhen Institute of Technology, No.1 Jiangjunmao Road, GuangDong, CHN 518000"],"affiliations":[{"raw_affiliation_string":"China Shenzhen Institute of Technology, No.1 Jiangjunmao Road, GuangDong, CHN 518000","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080880575","display_name":"Yun Chen","orcid":"https://orcid.org/0000-0001-5123-1624"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Chen","raw_affiliation_strings":["China Shenzhen Institute of Technology, No.1 Jiangjunmao Road, GuangDong, CHN 518000","Haiwei ZUO, Shenzhen Institute of Technology, China;"],"affiliations":[{"raw_affiliation_string":"China Shenzhen Institute of Technology, No.1 Jiangjunmao Road, GuangDong, CHN 518000","institution_ids":["https://openalex.org/I158809036"]},{"raw_affiliation_string":"Haiwei ZUO, Shenzhen Institute of Technology, China;","institution_ids":["https://openalex.org/I158809036"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057707144"],"corresponding_institution_ids":["https://openalex.org/I158809036"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46798379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9918000102043152,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.7333112359046936},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.7066142559051514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4864749610424042},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4811619222164154},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4806872308254242},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4717985987663269},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44307559728622437},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.43915441632270813},{"id":"https://openalex.org/keywords/blueprint","display_name":"Blueprint","score":0.43579012155532837},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4345118999481201},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41055941581726074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37233248353004456},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3639417886734009},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13791492581367493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333112359046936},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.7066142559051514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4864749610424042},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4811619222164154},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4806872308254242},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4717985987663269},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44307559728622437},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.43915441632270813},{"id":"https://openalex.org/C155911762","wikidata":"https://www.wikidata.org/wiki/Q422321","display_name":"Blueprint","level":2,"score":0.43579012155532837},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4345118999481201},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41055941581726074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37233248353004456},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3639417886734009},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13791492581367493},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230932","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230932","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230932","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230932","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230932","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230932","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389247684.pdf","grobid_xml":"https://content.openalex.org/works/W4389247684.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2138011018","https://openalex.org/W2519904008","https://openalex.org/W2521457681","https://openalex.org/W2565639579","https://openalex.org/W2603203130","https://openalex.org/W2963037989","https://openalex.org/W2963857746","https://openalex.org/W3018757597","https://openalex.org/W3042011474","https://openalex.org/W4297775537"],"related_works":["https://openalex.org/W2384575798","https://openalex.org/W2265189214","https://openalex.org/W2766654718","https://openalex.org/W2007211730","https://openalex.org/W2379378785","https://openalex.org/W1975337239","https://openalex.org/W1971312788","https://openalex.org/W345637833","https://openalex.org/W2182844422","https://openalex.org/W2359853023"],"abstract_inverted_index":{"The":[0,14,34],"subsequent":[1],"disquisition":[2],"unveils":[3],"an":[4,118],"innovative":[5],"tracking":[6,125,147],"stratagem,":[7],"specifically":[8],"tailored":[9],"for":[10,94,144],"automotive":[11,95,146],"monitoring":[12],"situations.":[13,97],"recommended":[15],"tactic":[16],"aspires":[17],"to":[18,41,67,117,124],"perfect":[19],"the":[20,23,57,70,74,78,83,112],"blueprint,":[21],"augmenting":[22],"detection":[24,113],"briskness":[25],"via":[26],"a":[27,47,64,106,135,141],"judicious":[28],"synthesis":[29],"of":[30,73,82],"YOLOv4":[31,39,62],"and":[32,51],"DeepSORT.":[33],"conventional":[35],"convolution":[36],"integral":[37],"within":[38,61],"succumbs":[40],"depthwise":[42],"separable":[43],"convolution,":[44],"culminating":[45],"in":[46,77,109,148],"diminished":[48],"computational":[49],"exertion":[50],"accentuated":[52],"recognition":[53],"speed.":[54],"In":[55],"addition,":[56],"CSPNet":[58],"framework":[59],"nestled":[60],"undergoes":[63],"tweaking":[65],"process":[66],"pare":[68],"down":[69],"parameter":[71],"quantity":[72],"blueprint.":[75],"Alterations":[76],"attribute":[79],"extraction":[80],"network":[81],"Deep":[84],"SORT":[85],"algorithm":[86],"facilitate":[87],"effective":[88],"re-identification,":[89],"rendering":[90],"it":[91],"ideally":[92],"malleable":[93],"pursuit":[96],"Experimental":[98],"excursions":[99],"on":[100,128],"custom":[101],"datasets":[102],"signify":[103],"that":[104],"despite":[105],"slight":[107],"depreciation":[108],"average":[110],"precision,":[111],"frame":[114],"rate":[115],"skyrockets":[116],"impressive":[119],"132.4":[120],"FPS,":[121],"thereby":[122],"catering":[123],"task":[126],"prerequisites":[127],"gadgets":[129],"with":[130],"finite":[131],"performance":[132],"aptitude.":[133],"As":[134],"result,":[136],"this":[137],"academic":[138],"endeavor":[139],"proffers":[140],"convenient":[142],"resolution":[143],"real-time":[145],"settings":[149],"operating":[150],"under":[151],"resource":[152],"restrictions.":[153]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
