{"id":"https://openalex.org/W3089102387","doi":"https://doi.org/10.1109/iccsce50387.2020.9204925","title":"People Detection System Using YOLOv3 Algorithm","display_name":"People Detection System Using YOLOv3 Algorithm","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3089102387","doi":"https://doi.org/10.1109/iccsce50387.2020.9204925","mag":"3089102387"},"language":"en","primary_location":{"id":"doi:10.1109/iccsce50387.2020.9204925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce50387.2020.9204925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","raw_type":"proceedings-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/A5112568689","display_name":"Nurul Iman Hassan","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nurul Iman Hassan","raw_affiliation_strings":["Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000185473","display_name":"Nooritawati Md Tahir","orcid":"https://orcid.org/0000-0002-3082-8963"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Nooritawati Md. Tahir","raw_affiliation_strings":["Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108130993","display_name":"Fadhlan Hafizhelmi Kamaru Zaman","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Fadhlan Hafizhelmi Kamaru Zaman","raw_affiliation_strings":["Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109526836","display_name":"Habibah Hashim","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Habibah Hashim","raw_affiliation_strings":["Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor","institution_ids":["https://openalex.org/I82724352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9578,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.88687738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9984999895095825,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.799382209777832},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.7633805871009827},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7264088988304138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.713367223739624},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.6776346564292908},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5041626691818237},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48821309208869934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4849843978881836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43910226225852966},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4388718605041504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.799382209777832},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.7633805871009827},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7264088988304138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.713367223739624},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.6776346564292908},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5041626691818237},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48821309208869934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4849843978881836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43910226225852966},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4388718605041504},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccsce50387.2020.9204925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce50387.2020.9204925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1597793043","https://openalex.org/W1849277567","https://openalex.org/W1970850659","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2136579260","https://openalex.org/W2138302688","https://openalex.org/W2144354855","https://openalex.org/W2156163116","https://openalex.org/W2163605009","https://openalex.org/W2541711310","https://openalex.org/W2613718673","https://openalex.org/W2908050327","https://openalex.org/W2950179405","https://openalex.org/W2963037989","https://openalex.org/W6628973269","https://openalex.org/W6675026286","https://openalex.org/W6680174636","https://openalex.org/W6680543955","https://openalex.org/W6682739439","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4240200267","https://openalex.org/W1511510665","https://openalex.org/W1524661185","https://openalex.org/W2078823605","https://openalex.org/W2500095415","https://openalex.org/W4233026749","https://openalex.org/W2097922264","https://openalex.org/W2282342021","https://openalex.org/W4248106174","https://openalex.org/W1997780040"],"abstract_inverted_index":{"In":[0],"crowd":[1],"security":[2],"systems,":[3],"precise":[4],"real-time":[5],"detection":[6,117],"of":[7,36,159,166,170],"people":[8,77,174],"in":[9,18],"images":[10,69],"or":[11,30],"videos":[12],"can":[13],"be":[14,28,126],"very":[15],"challenging":[16],"especially":[17],"complex":[19],"and":[20,73,88,92,108,152,161],"dense":[21],"crowds":[22],"whereby":[23],"some":[24],"individuals":[25],"could":[26],"possibly":[27],"partly":[29],"entirely":[31],"occluded":[32],"for":[33,96],"varying":[34],"lengths":[35],"time.":[37],"Thus,":[38],"this":[39],"paper":[40],"presents":[41],"a":[42,52,71,128,154,162],"large":[43],"Convolutional":[44],"Neural":[45],"Network":[46],"(CNN)":[47],"that":[48],"is":[49,112],"trained":[50],"using":[51,127],"single":[53],"step":[54],"model,":[55],"You":[56],"Only":[57],"Look":[58],"Once":[59,140],"version":[60],"3":[61],"(YOLOv3)":[62],"on":[63,119,168],"Google":[64],"Colaboratory":[65],"to":[66,74,114,146],"process":[67],"the":[68,79,83,94,105,110,120,142,149,173,176],"within":[70,78,175],"database":[72],"accurately":[75],"locate":[76],"images.":[80,139,177],"YOLOv3":[81],"splits":[82],"image":[84],"up":[85],"into":[86],"regions":[87],"predicts":[89,93],"bounding":[90,100],"boxes":[91,101],"probabilities":[95,107],"each":[97],"region.":[98],"These":[99],"are":[102],"weighted":[103],"by":[104],"projected":[106],"finally,":[109],"model":[111,124],"able":[113,145],"make":[115],"its":[116],"based":[118],"final":[121,163],"weights.":[122],"This":[123],"will":[125],"customised":[129],"dataset":[130],"from":[131],"Google's":[132],"Open":[133],"Images":[134],"with":[135],"500":[136],"high":[137],"resolution":[138],"trained,":[141],"neural":[143],"network":[144],"successfully":[147],"generate":[148],"test":[150],"data":[151],"achieve":[153],"mean":[155],"average":[156,164],"precision":[157],"(mAP)":[158],"78.3%":[160],"loss":[165],"0.6":[167],"top":[169],"confidently":[171],"detecting":[172]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}