{"id":"https://openalex.org/W3185432944","doi":"https://doi.org/10.1155/2021/7367870","title":"Anomaly Detection in Videos Using Two\u2010Stream Autoencoder with Post Hoc Interpretability","display_name":"Anomaly Detection in Videos Using Two\u2010Stream Autoencoder with Post Hoc Interpretability","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3185432944","doi":"https://doi.org/10.1155/2021/7367870","mag":"3185432944","pmid":"https://pubmed.ncbi.nlm.nih.gov/34354745"},"language":"en","primary_location":{"id":"doi:10.1155/2021/7367870","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/7367870","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/7367870.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2021/7367870.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010627630","display_name":"Jiangfan Feng","orcid":"https://orcid.org/0000-0002-9155-1865"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiangfan Feng","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications, School of Computer Science and Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-9155-1865","affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications, School of Computer Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014156346","display_name":"Yukun Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukun Liang","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications, School of Computer Science and Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications, School of Computer Science and Technology, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412805","display_name":"Lin Li","orcid":"https://orcid.org/0000-0001-6271-1084"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["Chongqing Geomatics and Remote Sensing Center, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Geomatics and Remote Sensing Center, Chongqing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010627630"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":2.5185,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91112991,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"2021","issue":"1","first_page":"7367870","last_page":"7367870"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9909999966621399,"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":0.9833999872207642,"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/interpretability","display_name":"Interpretability","score":0.9685274362564087},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.9011934995651245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8168198466300964},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7345446348190308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7103832960128784},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5772966146469116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48759904503822327},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47902363538742065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.434621125459671},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4324703812599182},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42548006772994995},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4100406765937805},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3304978013038635}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9685274362564087},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9011934995651245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8168198466300964},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7345446348190308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7103832960128784},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5772966146469116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48759904503822327},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47902363538742065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.434621125459671},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4324703812599182},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42548006772994995},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4100406765937805},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3304978013038635},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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":[{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D045483","descriptor_name":"Rivers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D045483","descriptor_name":"Rivers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D045483","descriptor_name":"Rivers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1155/2021/7367870","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/7367870","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/7367870.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:34354745","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34354745","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":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:63f675f4e5934e1aa2c4343b880abcb5","is_oa":true,"landing_page_url":"https://doaj.org/article/63f675f4e5934e1aa2c4343b880abcb5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8331293","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8331293","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2021/7367870","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/7367870","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/7367870.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G6843444461","display_name":null,"funder_award_id":"41971365","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8402282961","display_name":null,"funder_award_id":"cstc2019jcyj-msxmX0131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3185432944.pdf","grobid_xml":"https://content.openalex.org/works/W3185432944.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W1915485278","https://openalex.org/W2122361470","https://openalex.org/W2163612318","https://openalex.org/W2164261375","https://openalex.org/W2341058432","https://openalex.org/W2342662179","https://openalex.org/W2439881727","https://openalex.org/W2519730330","https://openalex.org/W2540481276","https://openalex.org/W2579718262","https://openalex.org/W2587789887","https://openalex.org/W2604961537","https://openalex.org/W2606144683","https://openalex.org/W2753526808","https://openalex.org/W2763384612","https://openalex.org/W2764024122","https://openalex.org/W2777342313","https://openalex.org/W2901629142","https://openalex.org/W2903380502","https://openalex.org/W2904013130","https://openalex.org/W2914570111","https://openalex.org/W2962791923","https://openalex.org/W2962858109","https://openalex.org/W2962883557","https://openalex.org/W2963045681","https://openalex.org/W2963111876","https://openalex.org/W2963610939","https://openalex.org/W2963899855","https://openalex.org/W2963989815","https://openalex.org/W2964032056","https://openalex.org/W2966687987","https://openalex.org/W2979997102","https://openalex.org/W2990503944","https://openalex.org/W3015832418","https://openalex.org/W3035253074","https://openalex.org/W3128446401","https://openalex.org/W3130803891","https://openalex.org/W3162086651","https://openalex.org/W3162244260","https://openalex.org/W3163368065"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W3186512740","https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W3017266184","https://openalex.org/W3202913553","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829"],"abstract_inverted_index":{"The":[0],"growing":[1],"interest":[2],"in":[3,83],"deep":[4],"learning":[5],"approaches":[6],"to":[7,49,70],"video":[8,55,85],"surveillance":[9,54],"raises":[10],"concerns":[11],"about":[12],"the":[13,72,84,107,111,114],"accuracy":[14],"and":[15,22,46,79,93,105],"efficiency":[16],"of":[17,25,66,74,110],"neural":[18],"networks.":[19],"However,":[20],"fast":[21,45],"reliable":[23],"detection":[24,48,52],"abnormal":[26,58,102],"events":[27,103],"is":[28],"still":[29],"a":[30,36],"challenging":[31],"work.":[32],"Here,":[33],"we":[34,61],"introduce":[35],"two-stream":[37],"approach":[38],"that":[39,97],"offers":[40],"an":[41],"autoencoder-based":[42],"structure":[43],"for":[44],"efficient":[47],"facilitate":[50],"anomaly":[51],"from":[53],"without":[56],"labeled":[57],"events.":[59],"Furthermore,":[60],"present":[62],"post":[63],"hoc":[64],"interpretability":[65],"feature":[67,75],"map":[68],"visualization":[69],"show":[71,96],"process":[73],"learning,":[76],"revealing":[77],"uncertain":[78],"ambiguous":[80],"decision":[81],"boundaries":[82],"sequence.":[86],"Experimental":[87],"results":[88],"on":[89],"Avenue,":[90],"UCSD":[91],"Ped2,":[92],"Subway":[94],"datasets":[95],"our":[98],"method":[99],"can":[100],"detect":[101],"well":[104],"explain":[106],"internal":[108],"logic":[109],"model":[112],"at":[113],"object":[115],"level.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
