{"id":"https://openalex.org/W3101466234","doi":"https://doi.org/10.1007/978-3-030-58555-6_20","title":"Clustering Driven Deep Autoencoder for Video Anomaly Detection","display_name":"Clustering Driven Deep Autoencoder for Video Anomaly Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3101466234","doi":"https://doi.org/10.1007/978-3-030-58555-6_20","mag":"3101466234"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58555-6_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58555-6_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5047936406","display_name":"Yunpeng Chang","orcid":"https://orcid.org/0000-0001-5744-4874"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunpeng Chang","raw_affiliation_strings":["Wuhan University, Wuhan, 430079, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074405661","display_name":"Zhigang Tu","orcid":"https://orcid.org/0000-0001-5003-2260"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Tu","raw_affiliation_strings":["Wuhan University, Wuhan, 430079, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, 430079, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100678496","display_name":"Wei Xie","orcid":"https://orcid.org/0000-0002-7840-5652"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xie","raw_affiliation_strings":["Central China Normal University, Wuhan, 430079, China"],"affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, 430079, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085245110","display_name":"Junsong Yuan","orcid":"https://orcid.org/0000-0002-7901-8793"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junsong Yuan","raw_affiliation_strings":["State University of New York at Buffalo, Buffalo, NY, 14260-2500, USA"],"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo, Buffalo, NY, 14260-2500, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047936406"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":37.9066,"has_fulltext":false,"cited_by_count":223,"citation_normalized_percentile":{"value":0.99796068,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"329","last_page":"345"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9937000274658203,"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"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/autoencoder","display_name":"Autoencoder","score":0.8718425035476685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8526090979576111},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7464049458503723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7223643064498901},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6940590739250183},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6310706734657288},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5493936538696289},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5387967228889465},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5212833881378174},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5107283592224121},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5028149485588074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4978017807006836},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4758175015449524},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4670013189315796},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.36192286014556885},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19667354226112366},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19190099835395813}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8718425035476685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8526090979576111},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7464049458503723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7223643064498901},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6940590739250183},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6310706734657288},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5493936538696289},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5387967228889465},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5212833881378174},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5107283592224121},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5028149485588074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4978017807006836},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4758175015449524},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4670013189315796},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.36192286014556885},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19667354226112366},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19190099835395813},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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:10.1007/978-3-030-58555-6_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58555-6_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W16016350","https://openalex.org/W569478347","https://openalex.org/W1578985305","https://openalex.org/W2015887370","https://openalex.org/W2021659075","https://openalex.org/W2025768430","https://openalex.org/W2100495367","https://openalex.org/W2116435618","https://openalex.org/W2122361470","https://openalex.org/W2124917681","https://openalex.org/W2127883478","https://openalex.org/W2138092272","https://openalex.org/W2163612318","https://openalex.org/W2165793886","https://openalex.org/W2172174689","https://openalex.org/W2218318129","https://openalex.org/W2341058432","https://openalex.org/W2540481276","https://openalex.org/W2560474170","https://openalex.org/W2597655663","https://openalex.org/W2608862709","https://openalex.org/W2741943936","https://openalex.org/W2753526808","https://openalex.org/W2777342313","https://openalex.org/W2791307013","https://openalex.org/W2803697594","https://openalex.org/W2886255780","https://openalex.org/W2905310541","https://openalex.org/W2925312408","https://openalex.org/W2952186347","https://openalex.org/W2960737790","https://openalex.org/W2963049059","https://openalex.org/W2963240734","https://openalex.org/W2963315828","https://openalex.org/W2963610939","https://openalex.org/W2964074409","https://openalex.org/W2964118618","https://openalex.org/W2964121744","https://openalex.org/W2964232409","https://openalex.org/W2981741013","https://openalex.org/W2987228832","https://openalex.org/W2989042503","https://openalex.org/W2995458562","https://openalex.org/W2998098152","https://openalex.org/W3009227837","https://openalex.org/W6735377749","https://openalex.org/W6751494907","https://openalex.org/W6763324549"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W3186512740","https://openalex.org/W4363671829","https://openalex.org/W2780476542"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":49},{"year":2023,"cited_by_count":58},{"year":2022,"cited_by_count":53},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
