{"id":"https://openalex.org/W3015495912","doi":"https://doi.org/10.1109/tpami.2020.3040591","title":"A Survey of Single-Scene Video Anomaly Detection","display_name":"A Survey of Single-Scene Video Anomaly Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3015495912","doi":"https://doi.org/10.1109/tpami.2020.3040591","mag":"3015495912","pmid":"https://pubmed.ncbi.nlm.nih.gov/33237854"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2020.3040591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3040591","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bharathkumar Ramachandra","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bharathkumar Ramachandra","raw_affiliation_strings":["Department of Computer Science, North Carolina State University, Raleigh, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michael Jones","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Jones","raw_affiliation_strings":["Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ranga Raju Vatsavai","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ranga Raju Vatsavai","raw_affiliation_strings":["Department of Computer Science, Behavioral Reinforcement Learning Lab, Lirio, North Carolina State University, Raleigh, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Behavioral Reinforcement Learning Lab, Lirio, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.4302,"has_fulltext":false,"cited_by_count":166,"citation_normalized_percentile":{"value":0.98600165,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"44","issue":"5","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9721999764442444,"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":0.9721999764442444,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.010099999606609344,"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/T11439","display_name":"Video Analysis and Summarization","score":0.009499999694526196,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7960000038146973},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7440000176429749},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.5313000082969666},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.37630000710487366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3547999858856201},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.320499986410141}],"concepts":[{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7960000038146973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559000253677368},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7440000176429749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6168000102043152},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.5313000082969666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3986000120639801},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.37630000710487366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34880000352859497},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3174000084400177},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.29420000314712524},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.26440000534057617},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26339998841285706}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2020.3040591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3040591","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:33237854","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33237854","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":106,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1485009520","https://openalex.org/W1502922572","https://openalex.org/W1536680647","https://openalex.org/W1595717062","https://openalex.org/W1616262590","https://openalex.org/W1786100747","https://openalex.org/W1818594852","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1931450083","https://openalex.org/W1957718552","https://openalex.org/W1967456674","https://openalex.org/W1974647172","https://openalex.org/W2015461918","https://openalex.org/W2021659075","https://openalex.org/W2041390734","https://openalex.org/W2065994824","https://openalex.org/W2068611653","https://openalex.org/W2079023123","https://openalex.org/W2097363716","https://openalex.org/W2097511040","https://openalex.org/W2105497548","https://openalex.org/W2105510466","https://openalex.org/W2108333036","https://openalex.org/W2110383222","https://openalex.org/W2112657736","https://openalex.org/W2116064496","https://openalex.org/W2122361470","https://openalex.org/W2125105611","https://openalex.org/W2127589108","https://openalex.org/W2138092272","https://openalex.org/W2141014056","https://openalex.org/W2142194269","https://openalex.org/W2144207571","https://openalex.org/W2146610201","https://openalex.org/W2148464528","https://openalex.org/W2157331557","https://openalex.org/W2158139223","https://openalex.org/W2161969291","https://openalex.org/W2162616721","https://openalex.org/W2163612318","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W2167052694","https://openalex.org/W2277195237","https://openalex.org/W2341058432","https://openalex.org/W2460849547","https://openalex.org/W2519730330","https://openalex.org/W2527524734","https://openalex.org/W2531279268","https://openalex.org/W2533739470","https://openalex.org/W2565639579","https://openalex.org/W2579718262","https://openalex.org/W2587789887","https://openalex.org/W2592008540","https://openalex.org/W2606144683","https://openalex.org/W2606538621","https://openalex.org/W2618530766","https://openalex.org/W2761369084","https://openalex.org/W2763384612","https://openalex.org/W2777288981","https://openalex.org/W2777342313","https://openalex.org/W2901629142","https://openalex.org/W2903273903","https://openalex.org/W2904013130","https://openalex.org/W2912155302","https://openalex.org/W2921491036","https://openalex.org/W2921906393","https://openalex.org/W2960737790","https://openalex.org/W2962791923","https://openalex.org/W2963061824","https://openalex.org/W2963073614","https://openalex.org/W2963111876","https://openalex.org/W2963173190","https://openalex.org/W2963240734","https://openalex.org/W2963524571","https://openalex.org/W2963541464","https://openalex.org/W2963610939","https://openalex.org/W2963781481","https://openalex.org/W2963795951","https://openalex.org/W2963899855","https://openalex.org/W2964032056","https://openalex.org/W2964232409","https://openalex.org/W2981741013","https://openalex.org/W2987146532","https://openalex.org/W2987228832","https://openalex.org/W3000279895","https://openalex.org/W3007303524","https://openalex.org/W3015608037","https://openalex.org/W3024238458","https://openalex.org/W3024312292","https://openalex.org/W3034671389","https://openalex.org/W3035240825","https://openalex.org/W3035699237","https://openalex.org/W3118434465","https://openalex.org/W3143144647","https://openalex.org/W4285797252","https://openalex.org/W6623541339","https://openalex.org/W6631708475","https://openalex.org/W6680294583","https://openalex.org/W6682082992","https://openalex.org/W6684349851","https://openalex.org/W6726873649","https://openalex.org/W6755398912","https://openalex.org/W6766008006"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2755342338","https://openalex.org/W2036807459","https://openalex.org/W1969923398","https://openalex.org/W1837097281","https://openalex.org/W2772917594","https://openalex.org/W2076520961","https://openalex.org/W2785688755","https://openalex.org/W4290964450","https://openalex.org/W2533071668"],"abstract_inverted_index":{"This":[0],"article":[1],"summarizes":[2],"research":[3,35],"trends":[4],"on":[5,51],"the":[6,20,46],"topic":[7],"of":[8,14,45,48],"anomaly":[9],"detection":[10],"in":[11],"video":[12],"feeds":[13],"a":[15,42],"single":[16],"scene.":[17],"We":[18,30],"discuss":[19],"various":[21],"problem":[22],"formulations,":[23],"publicly":[24],"available":[25],"datasets":[26],"and":[27,32,40,61],"evaluation":[28],"criteria.":[29],"categorize":[31],"situate":[33],"past":[34],"into":[36],"an":[37],"intuitive":[38],"taxonomy":[39],"provide":[41,58],"comprehensive":[43],"comparison":[44],"accuracy":[47],"many":[49],"algorithms":[50],"standard":[52],"test":[53],"sets.":[54],"Finally,":[55],"we":[56],"also":[57],"best":[59],"practices":[60],"suggest":[62],"some":[63],"possible":[64],"directions":[65],"for":[66],"future":[67],"research.":[68]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":15}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2020-04-17T00:00:00"}