{"id":"https://openalex.org/W4321014996","doi":"https://doi.org/10.1142/s0219691323500121","title":"Timber\u2013Prairie Wolf Optimization-Dependent Deep Learning Classifier for Anomaly Detection in Surveillance Videos","display_name":"Timber\u2013Prairie Wolf Optimization-Dependent Deep Learning Classifier for Anomaly Detection in Surveillance Videos","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4321014996","doi":"https://doi.org/10.1142/s0219691323500121"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691323500121","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691323500121","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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/A5038679429","display_name":"Baliram Sambhaji Gayal","orcid":"https://orcid.org/0000-0002-9177-2422"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Baliram Sambhaji Gayal","raw_affiliation_strings":["Department of Electronics & Telecommunication Engineering, RMD Sinhgad School of Engineering, Pune 411058, Maharashtra, India"],"raw_orcid":"https://orcid.org/0000-0002-9177-2422","affiliations":[{"raw_affiliation_string":"Department of Electronics & Telecommunication Engineering, RMD Sinhgad School of Engineering, Pune 411058, Maharashtra, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114014814","display_name":"Sandip Raosaheb Patil","orcid":null},"institutions":[{"id":"https://openalex.org/I887998513","display_name":"Bharati Vidyapeeth Deemed University","ror":"https://ror.org/0052mmx10","country_code":"IN","type":"education","lineage":["https://openalex.org/I887998513"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sandip Raosaheb Patil","raw_affiliation_strings":["Department of Electronics & Telecommunication Engineering, Bharati Vidyapeeth\u2019s College of Engineering for Women, Dhankawadi, Pune 411043, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics & Telecommunication Engineering, Bharati Vidyapeeth\u2019s College of Engineering for Women, Dhankawadi, Pune 411043, Maharashtra, India","institution_ids":["https://openalex.org/I887998513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038679429"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.852,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77485163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"21","issue":"05","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":0.9977999925613403,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.7639333009719849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7137156128883362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7016831040382385},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6739343404769897},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5792890787124634},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4711396098136902},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4686517119407654},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40031957626342773}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7639333009719849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7137156128883362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7016831040382385},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6739343404769897},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5792890787124634},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4711396098136902},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4686517119407654},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40031957626342773},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691323500121","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691323500121","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2061438946","https://openalex.org/W2098605911","https://openalex.org/W2099681111","https://openalex.org/W2124917681","https://openalex.org/W2131798110","https://openalex.org/W2140962554","https://openalex.org/W2290701356","https://openalex.org/W2519348294","https://openalex.org/W2540481276","https://openalex.org/W2559655401","https://openalex.org/W2564546572","https://openalex.org/W2586807479","https://openalex.org/W2604272474","https://openalex.org/W2808699053","https://openalex.org/W2891656133","https://openalex.org/W2962791923","https://openalex.org/W2963833205","https://openalex.org/W2970724283","https://openalex.org/W2976482555","https://openalex.org/W3037420336","https://openalex.org/W3058842179","https://openalex.org/W3126615635","https://openalex.org/W3171328460","https://openalex.org/W3190318906"],"related_works":["https://openalex.org/W1555349535","https://openalex.org/W1556451512","https://openalex.org/W4234091740","https://openalex.org/W4213350282","https://openalex.org/W2230171082","https://openalex.org/W2583128298","https://openalex.org/W2369125128","https://openalex.org/W2022275305","https://openalex.org/W2134423494","https://openalex.org/W2049864679"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,54,105],"in":[2,27,71,114],"public":[3,24],"places":[4],"using":[5],"the":[6,13,20,49,63,68,91,99,111,144,147,153],"video":[7],"surveillance":[8],"gains":[9],"significance":[10],"due":[11],"to":[12,85,97],"real-time":[14],"monitoring":[15],"and":[16,23,65,81,123,156],"security":[17],"that":[18],"ensures":[19],"personal":[21],"assets":[22],"security.":[25],"Accordingly,":[26],"this":[28],"research,":[29],"a":[30,139],"deep":[31,51,100],"CNN":[32,52],"model":[33,57,61,77,109],"with":[34,127],"Timber\u2013Prairie":[35],"wolf":[36],"optimization":[37,40],"algorithm":[38],"(TPWO)":[39],"is":[41,95,150],"proposed":[42],"for":[43,102],"surveillance-based":[44],"anomaly":[45,53],"detection.":[46],"To":[47],"support":[48],"TPWO-based":[50,108],"model,":[55],"tracking":[56,60,76,83],"named":[58],"OptSpatio":[59,75],"tracks":[62],"location":[64],"movement":[66],"of":[67,116,130,141,146],"anomalous":[69,88],"objects":[70],"any":[72,87],"locality.":[73],"The":[74,107,132],"uses":[78],"both":[79],"visual":[80],"spatial":[82],"models":[84],"monitor":[86],"activity.":[89],"On":[90],"other":[92],"hand,":[93],"TPWO":[94,148],"designed":[96],"tune":[98],"classifier":[101],"acquiring":[103],"better":[104],"performance.":[106],"surpasses":[110],"competent":[112],"methods":[113],"terms":[115],"accuracy":[117],"by":[118,121,125],"97.214%,":[119],"sensitivity":[120],"97.831%":[122],"specificity":[124],"96.668%":[126],"minimal":[128],"EER":[129],"2.786%.":[131],"MOTP":[133],"values":[134],"are":[135],"also":[136],"obtained":[137],"at":[138,152],"rate":[140],"0.7325;":[142],"moreover,":[143],"effectiveness":[145],"method":[149],"justified":[151],"object-,":[154],"frame-,":[155],"pixel-level":[157],"analysis.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}