{"id":"https://openalex.org/W4388103396","doi":"https://doi.org/10.1109/icset59111.2023.10295125","title":"Abnormal Event Behavior Detection For Home Surveillance Cameras System","display_name":"Abnormal Event Behavior Detection For Home Surveillance Cameras System","publication_year":2023,"publication_date":"2023-10-02","ids":{"openalex":"https://openalex.org/W4388103396","doi":"https://doi.org/10.1109/icset59111.2023.10295125"},"language":"en","primary_location":{"id":"doi:10.1109/icset59111.2023.10295125","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icset59111.2023.10295125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Conference on System Engineering and Technology (ICSET)","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/A5046970387","display_name":"Muhammad Fauzi Nuryasin","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Muhammad Fauzi Nuryasin","raw_affiliation_strings":["Institut Teknologi Bandung,Department of Electrical Engineering,Bandung,Indonesia","Department of Electrical Engineering, Institut Teknologi Bandung, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Bandung,Department of Electrical Engineering,Bandung,Indonesia","institution_ids":["https://openalex.org/I134635517"]},{"raw_affiliation_string":"Department of Electrical Engineering, Institut Teknologi Bandung, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057802496","display_name":"Carmadi Machbub","orcid":null},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Carmadi Machbub","raw_affiliation_strings":["Institut Teknologi Bandung,Department of Electrical Engineering,Bandung,Indonesia","Department of Electrical Engineering, Institut Teknologi Bandung, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Bandung,Department of Electrical Engineering,Bandung,Indonesia","institution_ids":["https://openalex.org/I134635517"]},{"raw_affiliation_string":"Department of Electrical Engineering, Institut Teknologi Bandung, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078439375","display_name":"Lenni Yulianti","orcid":"https://orcid.org/0009-0006-1942-2846"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Lenni Yulianti","raw_affiliation_strings":["Institut Teknologi Bandung,Department of Electrical Engineering,Bandung,Indonesia","Department of Electrical Engineering, Institut Teknologi Bandung, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Bandung,Department of Electrical Engineering,Bandung,Indonesia","institution_ids":["https://openalex.org/I134635517"]},{"raw_affiliation_string":"Department of Electrical Engineering, Institut Teknologi Bandung, Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046970387"],"corresponding_institution_ids":["https://openalex.org/I134635517"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57170018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9980999827384949,"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":0.6538296341896057},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5635796785354614},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5422587394714355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3982510268688202},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32494544982910156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538296341896057},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5635796785354614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5422587394714355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3982510268688202},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32494544982910156},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icset59111.2023.10295125","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icset59111.2023.10295125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 13th International Conference on System Engineering and Technology (ICSET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2161969291","https://openalex.org/W2163612318","https://openalex.org/W2579718262","https://openalex.org/W2756233686","https://openalex.org/W2769106605","https://openalex.org/W2775435004","https://openalex.org/W2793959159","https://openalex.org/W2992009433","https://openalex.org/W3005376566","https://openalex.org/W3080294124","https://openalex.org/W3108046365","https://openalex.org/W3127407147","https://openalex.org/W3127620568","https://openalex.org/W4239510810","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Home":[0],"surveillance":[1],"cameras":[2,27],"have":[3],"a":[4,30,38,119],"crucial":[5],"role":[6],"in":[7],"ensuring":[8],"the":[9,18,63,81,103,128,136,140,145,151],"security":[10],"and":[11,32,52,67,111,150],"safety":[12],"of":[13,21,43,135],"residential":[14],"premises.":[15],"However,":[16],"analyzing":[17],"vast":[19],"amount":[20],"video":[22],"data":[23],"generated":[24],"by":[25],"these":[26],"manually":[28],"is":[29],"time-consuming":[31],"challenging":[33],"task.":[34],"This":[35],"study":[36],"designed":[37],"camera":[39],"work":[40],"system":[41,124,137],"consisting":[42],"three":[44,114],"main":[45],"modules":[46,115],"namely":[47],"object":[48],"detection,":[49],"face":[50],"recognition,":[51],"anomaly":[53],"behavior":[54],"to":[55],"detecting":[56],"abnormal":[57,129],"event":[58,130],"behavior.":[59,131],"Object":[60],"detection":[61,92],"used":[62,75,93],"Histogram":[64],"Oriented":[65],"Gradient":[66],"Support":[68],"Vector":[69],"Machine":[70],"(HOG-SVM)":[71],"combination.":[72],"Facial":[73],"recognition":[74],"Convolutional":[76],"Neural":[77],"Network":[78],"(CNN)":[79],"with":[80],"Visual":[82],"Geometry":[83],"Group-16":[84],"(VGG16)":[85],"architecture":[86],"that":[87,125],"utilized":[88],"transfer":[89],"learning.":[90],"Anomaly":[91],"spatiotemporal":[94],"autoencoder":[95],"based":[96],"on":[97],"threshold.":[98],"Modules":[99],"are":[100,116],"tested":[101],"using":[102,118],"standard":[104],"metrics":[105],"such":[106],"as":[107],"accuracy,":[108],"precision,":[109],"recall,":[110],"f1score.":[112],"The":[113,132],"integrated":[117],"state":[120],"machine":[121],"into":[122],"one":[123],"can":[126],"detect":[127],"overall":[133],"accuracy":[134],"reached":[138],"84%,":[139],"precision":[141],"value":[142,147],"was":[143,148,153],"84.615%,":[144],"recall":[146],"94.286%,":[149],"f1score":[152],"89.189%.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
