{"id":"https://openalex.org/W3081183010","doi":null,"title":"Anomaly Detection in Videos through Deep Unsupervised Techniques","display_name":"Anomaly Detection in Videos through Deep Unsupervised Techniques","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3081183010","mag":"3081183010"},"language":"en","primary_location":{"id":"pmh:oai:scholarworks.rit.edu:theses-11727","doi":null,"is_oa":true,"landing_page_url":"https://scholarworks.rit.edu/theses/10572","pdf_url":"https://scholarworks.rit.edu/theses/10572","source":{"id":"https://openalex.org/S4306402456","display_name":"RIT Scholar Works (Rochester Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I155173764","host_organization_name":"Rochester Institute of Technology","host_organization_lineage":["https://openalex.org/I155173764"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theses","raw_type":"text"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://scholarworks.rit.edu/theses/10572","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026029347","display_name":"Parikshit Prashant Shembekar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Parikshit Prashant Shembekar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5026029347"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"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":0.9970999956130981,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.00019999999494757503,"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/T12127","display_name":"Software System Performance and Reliability","score":0.00019999999494757503,"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/video-anomaly-detection","display_name":"video anomaly detection","score":0.972000002861023},{"id":"https://openalex.org/keywords/unsupervised-anomaly-detection","display_name":"unsupervised anomaly detection","score":0.8640000224113464},{"id":"https://openalex.org/keywords/dirichlet-process-mixture-model","display_name":"Dirichlet process mixture model","score":0.9549999833106995},{"id":"https://openalex.org/keywords/stick-breaking-process","display_name":"stick-breaking process","score":0.7310000061988831},{"id":"https://openalex.org/keywords/variational-autoencoder","display_name":"variational autoencoder","score":0.8320000171661377},{"id":"https://openalex.org/keywords/autoencoder","display_name":"autoencoder","score":0.7940000295639038},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.7020000219345093},{"id":"https://openalex.org/keywords/e-learning","display_name":"online learning","score":0.7919999957084656},{"id":"https://openalex.org/keywords/nonparametric-clustering","display_name":"nonparametric clustering","score":0.6959999799728394},{"id":"https://openalex.org/keywords/end-to-end-modeling","display_name":"end-to-end modeling","score":0.628000020980835}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6600557565689087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5133518576622009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4519873857498169},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32371532917022705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3211020827293396},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3151673972606659}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:scholarworks.rit.edu:theses-11727","doi":null,"is_oa":true,"landing_page_url":"https://scholarworks.rit.edu/theses/10572","pdf_url":"https://scholarworks.rit.edu/theses/10572","source":{"id":"https://openalex.org/S4306402456","display_name":"RIT Scholar Works (Rochester Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I155173764","host_organization_name":"Rochester Institute of Technology","host_organization_lineage":["https://openalex.org/I155173764"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theses","raw_type":"text"},{"id":"pmh:oai:repository.rit.edu:theses-11727","doi":null,"is_oa":false,"landing_page_url":"https://repository.rit.edu/theses/10572","pdf_url":null,"source":{"id":"https://openalex.org/S4306402456","display_name":"RIT Scholar Works (Rochester Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I155173764","host_organization_name":"Rochester Institute of Technology","host_organization_lineage":["https://openalex.org/I155173764"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theses","raw_type":"text"},{"id":"mag:3081183010","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.rit.edu/cgi/viewcontent.cgi?article=11727&context=theses","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:scholarworks.rit.edu:theses-11727","doi":null,"is_oa":true,"landing_page_url":"https://scholarworks.rit.edu/theses/10572","pdf_url":"https://scholarworks.rit.edu/theses/10572","source":{"id":"https://openalex.org/S4306402456","display_name":"RIT Scholar Works (Rochester Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I155173764","host_organization_name":"Rochester Institute of Technology","host_organization_lineage":["https://openalex.org/I155173764"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Theses","raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3081183010.pdf","grobid_xml":"https://content.openalex.org/works/W3081183010.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W1973137995","https://openalex.org/W2047016883","https://openalex.org/W2067919418","https://openalex.org/W2108745803","https://openalex.org/W2112796928","https://openalex.org/W2113956857","https://openalex.org/W2122361470","https://openalex.org/W2124658620","https://openalex.org/W2148301747","https://openalex.org/W2149021215","https://openalex.org/W2439881727","https://openalex.org/W2559927751","https://openalex.org/W2783882151","https://openalex.org/W2963610939","https://openalex.org/W2964121744","https://openalex.org/W2987146532","https://openalex.org/W3015832418","https://openalex.org/W3118608800"],"related_works":["https://openalex.org/W4403668408","https://openalex.org/W3004674140","https://openalex.org/W4390191205","https://openalex.org/W4396243431","https://openalex.org/W3138648827","https://openalex.org/W2746873023","https://openalex.org/W4412528949","https://openalex.org/W2613837647","https://openalex.org/W2799209564","https://openalex.org/W2897879219"],"abstract_inverted_index":{"Identifying":[0],"abnormality":[1],"in":[2,63,71,137,152,163,187],"videos":[3],"is":[4,99,119],"an":[5,138,188],"area":[6],"of":[7,11,17,95,103,125,135],"active":[8],"research.":[9],"Most":[10],"the":[12,28,40,61,64,72,91,96,104,126,153,161,164,181,193,197],"work":[13],"makes":[14],"extensive":[15],"use":[16,90],"supervised":[18],"approaches,":[19],"even":[20],"though":[21],"these":[22],"methods":[23],"often":[24],"give":[25],"superior":[26],"performances":[27],"major":[29],"drawback":[30],"being":[31],"abnormalities":[32],"cannot":[33],"be":[34],"conformed":[35],"to":[36,45,59,80,129,169,196],"select":[37],"classes,":[38],"thus":[39],"need":[41],"for":[42,74],"unsupervised":[43,139],"models":[44],"approach":[46],"this":[47,123,172],"task.":[48],"We":[49,89,121,141,167],"introduce":[50,143],"Dirichlet":[51],"Process":[52],"Mixture":[53],"Models":[54],"(DPMM)":[55],"along":[56],"with":[57,147],"Autoencoders":[58,66],"learn":[60],"normality":[62],"data.":[65],"have":[67],"been":[68],"extensively":[69],"used":[70],"literature":[73],"feature":[75,148,182],"extraction":[76,149,183],"and":[77,108,116,133,156,184],"enable":[78],"us":[79],"capture":[81],"rich":[82],"features":[83],"into":[84],"a":[85,100,144,176],"small":[86],"dimensional":[87],"space.":[88],"Stick":[92],"Breaking":[93],"formulation":[94,195],"DPMM":[97,162],"which":[98],"non-parametric":[101],"version":[102],"Gaussian":[105],"mixture":[106],"model":[107,128,146,158,173,177,185],"it":[109],"can":[110],"create":[111],"new":[112],"clusters":[113],"as":[114],"more":[115,117],"data":[118,136],"observed.":[120],"exploit":[122],"property":[124],"stick-breaking":[127,194],"incorporate":[130],"online":[131],"learning":[132],"prediction":[134],"manner.":[140],"first":[142,154],"two-phase":[145],"through":[150,160],"autoencoders":[151],"step":[155],"then":[157],"inference":[159,186],"second":[165],"step.":[166],"seek":[168],"improve":[170],"upon":[171],"by":[174,191],"introducing":[175],"that":[178],"does":[179],"both":[180],"end-to-end":[189],"fashion":[190],"modeling":[192],"Variational":[198],"Autoencoder":[199],"(VAE)":[200],"setting.":[201]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2020-09-01T00:00:00"}
